equalizeHist(Source Matrix, Destination Matrix). jpeg') # Apply histogram equalization equalized_image = cv2. png',res) So now you can take different images with different light conditions, equalize it and check the results. In this program, it equalizes a grayscale image. The signature is the following: cv2. To calculate histograms of arrays of images by using the OpenCV function cv::calcHist. cvtColor(image, cv2. What do I have to do to convert it to CV_8UC1 type? The DICOM file has this information: Oct 10, 2020 · Stats. Display both images (original and equalized) : Python cv2 模块， equalizeHist() 实例源码. 後々、この関数をfor文で繰り返しで Line 4 The function cv2. where(mask == 255) # Step 2: Pick intensity values in these locations from the grayscale image: values = gray[loc] # Step 3: Histogram equalization on these values: enhanced_values = cv2. equalizeHist(ycrcb_img[:, :, 0]) # convert back to RGB color-space from YCrCb equalized_img Jul 30, 2020 · cv2. imread() and so on There is no opencv import. それをグレースケールで先ほど定義したdisplay ()関数で表示しています。. Nhằm giảm sự ảnh hưởng do chiếu sáng (chói), thiếu ánh sáng (ảnh tối), …. So in a small area, histogram would confine to a small region (unless there is noise). imread ('image2. The recommended import and usage is: import cv2 as cv # to mirror the `cv::` namespace # use cv. Jun 3, 2020 · Your last block of code should not work since you are reading the images (rgb) and trying to equalize without converting to grayscale and cv2. COLOR_BGR2GRAY) img. CLAHE operates on small regions in the image, called tiles, rather than the entire image. The function takes a grayscale image as the input and returns an equalized image. Step 5: Plot the histograms (originals and equalized) Step 6: Save equalized images to another location. 1. imread (path) # hsv 컬러 형태로 변형합니다. Below is a simple code snippet showing its usage for same image we used : 1 img = cv2. In the last tutorial ( Histogram Equalization) we talked about a particular kind of histogram called Image Dec 2, 2019 · OpenCV学习笔记（十六）：直方图均匀化：equalizeHist() 参考博客： 直方图均衡化的数学原理 直方图匹配的数学原理 直方图均衡化广泛应用于图像增强中： 直方图均衡化处理的“中心思想”是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。 Jan 8, 2013 · The function cv::calcHist calculates the histogram of one or more arrays. Ultimately, I'm trying to extract out the blood vessels, which are black in the image shown above, in trying to do so, the noise makes the extraction inaccurate. png' ,res) So now you can take different images with different light conditions, equalize it and check the results. hpp >. 我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用cv2. where(mask == 255) Store all pixel intensities on these coordinates present in gray: pixels = gray[coord] Perform histogram equalization on these pixel intensities: equalized_pixels = cv2. h, s, v = cv2. For other methods, according to the documentation, are valid single-channel matrices, 8-bit (CV_8UC1) or 32-bit floating point (CV_32FC1). jpg' ,0) 2 equ = cv2. If you have any doubt/suggestion please feel free to ask and I will do my best to help or improve myself. equalizeHist requires a single channel. ravel(), 256, [0,256]) The intensity ranges are now evenly distributed. normalize() will result in an image the same type as your input image, so if you want an unsigned 16-bit result, your input should be uint16. Get Mastering OpenCV 4 with Python now May 25, 2023 · Intoduction. imread ('pout. 3. Su entrada es solo una imagen en escala de grises y la Jan 29, 2020 · I want to convert it because I want to use it with the cv2. equalizeHist () 関数を用意しています．グレースケール画像を入力とし，ヒストグラム平坦化された画像を出力します．. Brightness(im) factor = 1 #gives original image. – The cv2. Jul 27, 2023 · OpenCV function cv2. image - is the grayscale image that we want Dec 11, 2015 · a = avggrad/I0avggrad b = avg - I0avg * a originalImg = cv2. The output alpha channel is given by (u+v)/ (1+uv) where u,v are the alpha channels of the front and back image and -1 <= u,v <= 1. Currently, the Otsu’s method is implemented only for 8-bit (CV_8UC1) images. img = cv2. equalizeHist(values) # Step 4: Store these enhanced values in those locations: gray2 = gray_img. equalizeHist () function. jpg",cleanImg) # the image opens up in gimp as a cleaned up image After using this I want to perform histogram equalization. jpg',0) # loads in grayscale. enhancer = ImageEnhance. However, when we apply this function for a color image, we have to define different channels instead of source and destination matrix. jpg') 然后，我们可以使用OpenCV的equalizeHist函数来均衡化图像。. Step 4: Create equalized images histograms. In adaptive histogram equalization, image is divided into small blocks called "tiles" (tileSize is 8x8 by default in OpenCV). May 25, 2022 · coord = np. By understanding the histogram, you can gain information about the image’s Feb 12, 2014 · equalizeHist in OpenCV takes only 8 bit data. cvtColor (src, cv2. There is no point in writing your own algorithm for equalizing histogram, as it seems in the code snippet attached, OpenCV already has a method as cv2. equalizeHist to equalize the histogram of an image. In. May 12, 2012 · To change brightness and contrast, you can multiply your pixel values and then add some constant to them. imread('b. COLOR_BGR2HSV) # h, s, v로 컬러 영상을 분리 합니다. x and 4. Where there is no overlap with front, the alpha value from back is taken. C++, Python and Java interfaces support Linux, MacOS, Windows, iOS, and Android. 0, titleGridSize=(8, 8)) 参数：clipLimit颜色对比度的阈值 titleGridSize进行像素均衡化的网格大小，即在多少网格下进行直方图的均衡化操作 作用： 用于 OpenCVはヒストグラム平坦化を使うための cv2. png')gray_image = cv2. Let’s set the equalized histogram plot — Apr 24, 2021 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Jan 8, 2011 · Apply histogram equalization with the function cv::equalizeHist : equalizeHist ( src, dst ); As it can be easily seen, the only arguments are the original image and the output (equalized) image. Ta có thể hiểu cân bằng sáng giúp ta "chuẩn hóa" ảnh đầu vào trước khi tiến hành Jan 24, 2022 · Esto es lo que debes recordar: La ecualización de histograma en OpenCV funciona únicamente sobre imágenes de un solo canal de color. import cv2 def run_histogram_equalization(image_path): rgb_img = cv2. To convert your image to this type you can use the function convertTo with the target type (must be the same number of channels). hstack ( (img,equ)) #stacking images side-by-side. cv2 . copy() Jun 28, 2020 · จากเดิมปัญหาของวิธี cv2. equalizeHist関数の出力するヒストグラムのビンの合計は255になるように作成されます。 戻り値. equalizeHist(img) res = np. import cv2. equalizeHist Aug 15, 2021 · cv2. If its input is just grayscale image, then output is our histogram equalized image. The solution is using different library, or implement the equalization using NumPy. 1: con=99. waitKey(0) cv2. jpg', 0) equ = cv2. The attached traceback states that: (-215:Assertion failed) _src. cl1 = clahe. Histogram equalization considers the global contrast of the image and works great when the histogram of the image is confined to a particular region. Jan 1, 2014 · Viewed 721 times. equalizeHist(img) 参数：img表示输入的图片 作用：表示进行直方图均衡化 2、cv2. x versions, i. 4 days ago · In adaptive histogram equalization, image is divided into small blocks called "tiles" (tileSize is 8x8 by default in OpenCV). By default cv2. Reload to refresh your session. imwrite ( 'res. The sample below shows how to compute a 2D Hue-Saturation histogram for a color image. 9 arg = math. createCLAHA(clipLimit=8. Para aplicar ecualización adaptativa de histogramas, necesitamos definir los parámetros clip y tile. #include < opencv2/imgproc. See its description here. calcHist() calculates the intensity distribution of the image. Then each of these blocks are histogram equalized as usual. equalizeHist (img) res = np. calcHist([image], [0], None, [256], [0, 256]) Go ahead and match the arguments of the cv2. equalizeHist () function normalizes the brightness and also increases the contrast of the image. uint8) results overflows. The code is: import cv2 import numpy as np img = cv2. alpha = 1. equalizeHist(gray_image) … - Selection from Mastering OpenCV 4 with Python [Book] Convert it to grayscale: cvtColor(src,src,CV_BGR2GRAY); Apply histogram equalization with the function equalizeHist : equalizeHist(src,dst); As it can be easily seen, the only arguments are the original image and the output (equalized) image. Jul 19, 2021 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Nov 11, 2017 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand Aug 27, 2020 · loc = np. calcHist call with the function documentation in the “Using OpenCV to compute histograms with the cv2. Dec 1, 2021 · 1、直方图均衡equalizeHist. If n is omitted, the default number of gray levels is 64. El método es útil en imágenes con fondos y primeros planos que son tanto brillantes como oscuros. imread() reads the image and returns the image data in img. Line 8-11: Plotting the images and their histogram. 直方圖均衡化 Histogram Equalization. COLOR_BGR2YCrCb) # equalize the histogram of the Y channel ycrcb_img[:, :, 0] = cv2. As per the question title you want to equalize the histogram of a colored image, by splitting it in YCrCb domain. imread('lenna. 接下来，我们需要加载一张彩色图像。. destroyAllWindows() Result: Adjust the scale value (192) as you desire for overall brightness. Jun 29, 2019 · equalize = cv2. Dec 28, 2018 · OpenCV provides the function cv2. Asked: 2020-10-10 06:31:39 -0600 Seen: 8,485 times Last updated: Oct 10 '20 May 15, 2018 · The first function applies cv. hist(equalize. It is straightforward to apply this function to a grayscale image as the method actually equalizes the histogram of a grayscale image, but in our case we have three channels (RGB) for each pixel, and we cannot apply histogram equalization on the three Jun 5, 2019 · 2. Su entrada es solo una imagen en escala de grises y la salida es nuestra imagen luego de ecualizado su histograma. equalizeHist(pixels) Create a copy of gray named gray2. OpenCV is open source and released under the Apache 2 License. cv2. calcHist function” section above. import matplotlib. pyplot as plt. equalizeHist(), and how to apply it to both grayscale and color images. Image histograms provide valuable insights into the distribution of pixel intensities in an image. astype(np. You can try one of following suggestions May 8, 2023 · I'm trying with the code from link below to blur faces in images: How to use openCV and HAAR Cascades to blur faces? image = cv2. Jan 8, 2013 · OpenCV has a function to do this, cv. cvtColor(rgb_img, cv2. png') # define desired brightness and contrast change values bri = 20 con = 20 # compute slope and intercept diffcon = (100 - con) if diffcon <= 0. equalizeHist (). The second function applies a linear mapping, and clips values outside of the range. Step 3: Equalized the images using cv2. (More info on Changing the contrast and brightness of an image, in OpenCV docs. src：输入图像，8bit单通道；. pyplot as plt # Load an image image = cv2. imwrite('res. I have an image with data type int16 . equalizeHist(image) Histogram equalization for gray scaled images: Jan 8, 2011 · Histograms Equalization in OpenCV. Supposing your img is already a uint16: img_scaled = cv2. cvtColor(img, cv2. equalizeHist と違い、2つの引数（lipLimit と tileGridSize） を持てるため、引数を変更することで画像の調整が可能になる。. equalizeHist() stretch out the intensity range of the image in order to improve contrast. Cross-Platform. The question is how to find alpha / beta automatically (I'd like a processing with no manual parameter tweaking) to have a good image optimization (something rather standard: we would like the background to be nearly white and not gray, the text or images to be well contrasted, etc. 逆に全体的に暗い画像はピクセルの輝度分布が低い値に偏っている。. ). imread('45. equalizedV = cv2. See the theory, code example and results of histogram equalization on different images. Place the equalized intensities in the same coordinates: gray2 = gray. type () == CV_8UC1 in function 'equalizeHist'について. Apr 30, 2018 · The opencv-python packages only provide the cv2 import. A sua aplicação é simples em uma imagem em tons de cinza , mas no nosso caso, temos três canais (RGB) para cada pixel e não podemos aplicar equalização de Jul 5, 2022 · La ecualización de histograma logra esto mediante la distribución efectiva de los valores de intensidad más frecuentes. imread('lena. equalizeHist (img) s_k = hist_equalize (img) equalized_img = cv2. imread('pic. In the next subsections, we will explore both the original and the modified histogram in order to see how it is changed. By default, cv2. equalizeHist ()可以实现图像的直方图均衡，它是一种全局直方图均衡，考量的对象是整幅图像。. Its input is just grayscale image and output is our histogram equalized image. equalizeHist(), doc) To have a better result, you should remove extremes values of the image, to remove under/over exposuition. normalize function with 0-255 range and then use numpy. Hope you enjoy reading. the current version, and probably will carry into v5. hstack ( (img, equ)) # stacking images side-by-side cv2. LUT (img, s_k) plot_img_and_hist (equalized_img) Cách 2 ta sẽ dùng hàm của OpenCv như sau: img_equalized = cv2. dst：均衡后的输出图像，类型同src；. import numpy as np. So when I have to convert its range to 0-255, I got two ways to do that in Python. def merge_image(back, front, x,y): Jan 23, 2019 · equalizeHist ()にdogの画像をして平坦化しています。. A continuación se muestra un fragmento de código que muestra el uso de esta función para la misma imagen utilizada anteriormente. ) Using python and numpy: import cv2 as cv. To do so, on the equalized image: compute the cumulative sum of the histogram Oct 20, 2018 · import cv2 import numpy as np import math # load image with alpha channel img = cv2. split (hsv) # v값을 히스토그램 평활화를 합니다. type () == CV_8UC1 in function 'equalizeHist'. The method is useful in images with backgrounds and foregrounds that are both bright or both dark. If it is colored (RGB) image, we can segregate all three different streams — red, green, blue; call cv2. Jul 25, 2023 · cv2. NORM_MINMAX) And then you can view as normal. e. shape (2354, 2560) display the image: Using OpenCV equalizeHist(img) Method 02 step — And by using the OpenCV function Jul 18, 2023 · 5行目の画像読み込み時に、cv2. but image normalization in OpenCV is not limited to 8 bit data. equalizeHist (v) # h,s,equalizedV를 합쳐서 새로운 hsv 이미지를 만듭니다. equalizeHistによるヒストグラム平坦化. image = cv2. . uint8 function directly. # 将彩色图像分成RGB通道. 最初に表示した元画像よりも平坦化によりコントラストが違っているのがわかると思います。. enhance(factor) 首先，我们需要导入必要的库和模块。. In Matlab, we directly get the conversion using uint8 function. createCLAHE(clipLimit=100. 全体的に明るい画像はピクセルの輝度分布が高い値に偏っている。. imread('colored_image. If noise is there, it will be amplified. equalizeHist ( src[, dst]) ->dst. Para aplicar ecualización de histograma tradicional, usamos cv2. Below is a simple code snippet showing its usage for same image we used : img = cv. cvtColor method or you can use the formula to convert from RGB to grayscale directly. copy() # Specify the trained Dec 22, 2021 · cv2. equalizeHist, which applies histogram equalization. Display both images (original and equalized) : namedWindow ( source_window, WINDOW_AUTOSIZE ); Dec 9, 2021 · トップ Python に関する質問. # 加载彩色图像. Jun 22, 2020 · 缺點 ：在對比度增強的同時，也放大了影像的噪音，所以才需要下面會介紹的 CLAHE均衡 來改善噪聲放大的問題。. It means that there is only one channel. equalizeHist() helps to implement histogram equalization — If we closely observe the output image, we may notice the image brightness is higher than the original image. equalizeHist(). Which states that the input argument to cv2. Note. jpg",0) #load as a grayscale cleanImg = (originalImg - b)/a cv2. image - is the grayscale image that we want to equalize (we're going to see later how we can extend to a colored image). Therefore, the histogram of the image is modified after applying this function. We can find the NumPy implementation of uint8 equalization in the OpenCV documentation: Histograms - 2: Histogram Equalization Oct 28, 2021 · To increase the dynamic of the image, there is common image processing method called "Histogram equalization" (see: cv. IMREAD_GRAYSCALE) Oct 7, 2022 · import cv2 img = cv2. Matlab's histeq function gives you a couple input options 1) J = histeq (I, hgram) - output J will approximate a user-specified histogram and 2) J = histeq (I, n) - output J will approximate the default flat histogram but with n discrete gray levels. 2. We can see that our first parameter is the grayscale image. If you think these two operations are anything but tangentially related, you need to go back to your text books. Step 2: Create original images histograms. You signed out in another tab or window. 限制對比度自適應直方圖均衡 Jan 30, 2018 · img = cv2. To normalize an array by using the function cv::normalize. equalizeHist関数の適応結果を示します。左上に示す Oct 13, 2015 · According to OpenCV doc for cv::threshold:. imwrite("Step1. _src. That is the import for all v3. The neighboring tiles are then combined using bilinear interpolation to remove the artificial boundaries. x. jpg', cv. The elements of a tuple used to increment a histogram bin are taken from the corresponding input arrays at the same location. You switched accounts on another tab or window. Histogram equalization is a non-linear process. 算法 ：運用累積分布函數 (CDF)對灰度值進行調整以實現對比度增強,把原始圖像的灰度直方圖從比較 集中 的某個灰度區間變成在全部灰 Dec 29, 2018 · src = cv2. open("sample-image. imread ( 'wiki. In any case you can skip the "convert to grayscale" step by reading the pictures like this: img = cv2. 1) Use numpy. sin(arg Apr 18, 2016 · clahe = cv2. 同じ画像に対して cv2. OpenCV tiene una función para hacer esto, cv2. copy() May 19, 2023 · CLAHE is a variant of Adaptive histogram equalization (AHE) which takes care of over-amplification of the contrast. clipLimit を大きくすればコントラストが強くなり、荒くなる Jan 29, 2019 · OpenCV provides the function cv2. equalizeHist () function in OpenCV performs histogram equalization to improve the contrast of the images and stretch the intensity range for the image histogram. Line 6 The function cv2. Therefore, the histogram of the image is modified after applying this Saved searches Use saved searches to filter your results more quickly Oct 22, 2017 · 8. apply(self. 下面这个例子读入 Oct 27, 2018 · Tác dụng của histogram equalization thường được dùng: Cân bằng sáng thường được dùng ở bước tiền xử lý. equalizeHist (colorimage[:,:,0]) colorimage_g = cv2. equalizeHist() must be a single channel image. Jul 28, 2023 · The good news is that OpenCV provides us with a function through which we can apply histogram equalization to an image, namely equalizeHist(). equalizeHist method. imread(file_name, 0) Sep 2, 2018 · 一、函数介绍 1、cv2. 6 days ago · equ = cv. Line 5 The function cv2. Aug 8, 2014 · 0. I am trying to equalise the histogram of an image I want to perform further processing on. Jul 11, 2022 · Step 1: Import the images. im = Image. The cv2. createCLAHE は部分的にヒストグラム平坦化を行いコントラスト強調する。. This technique is good when histogram of the image is confined to a particular region and it won't work good in places where there are large intensity variations and where histogram covers a large region, i. im_output = enhancer. equalizeHist() function normalizes the brightness and also increases the contrast of the image. This function returns the image with the equalized histogram. equalizeHist()。 Apr 5, 2023 · Here is my code: import cv2 #for image processing import easygui #to open the filebox import numpy as np #to store image import imageio #to read image stored at particular path import sys import Mar 10, 2021 · Syntax. Optimized. OpenCV has a function to do this, cv2. Streamlining the Process To streamline the contrast enhancement process, OpenCV allows for the integration of both contrast stretching and tonal enhancement in a single step. equalizeHist(image) plt. It is free for commercial use. Jan 4, 2023 · OpenCV has a function to do this, cv2. equalizeHist (colorimage[:,:,1]) colorimage_r = cv2. Let’s see OpenCV function for Histogram Equalization. jpg') result_image = image. For example. equ) This is the result I get: I want to get rid of all the black dots which is noise. cv. equalizeHist() ก็คือนำทั้งภาพมาคิดพร้อมๆกัน แบบนั้นเมื่อเจอภาพที่มีความสว่างต่างกันมากในแต่ละบริเวณก็จะ 1. 0, tileGridSize=(8,8)) self. beta = 0. #read the image. imwrite ('res. 参数含义：. imread("testImage. Sep 29, 2016 · The function equalizeHist is histogram equalization of images and only implemented for CV_8UC1 type, which is a single channel 8 bit unsigned integral type. equalizeHist() function with the purpose of equalizing the contrast of a given grayscale image is pretty easy: image = cv2. equalizeHist(image) where: 1. 戻り値は入力画像と同じサイズのuint8のヒストグラム平坦化が適用されたグレースケール画像データです。 cv2. Oct 20, 2023 · import cv2 import numpy as np import matplotlib. May 5, 2021 · Through factor you can change the brightness of the image. equalizeHist() and its input is just grayscale image and output is our histogram equalized image. equalizeHist() individually on these channels and finally merge back, as shown in the code Jul 5, 2019 · Thanks for your answer (already helpful, so please keep it). imread(image_path) # convert from RGB color-space to YCrCb ycrcb_img = cv2. from PIL import Image, ImageEnhance. Depending upon your application, you might also want to subtract the mean and divide by the standard deviation of the division normalization result. imshow('division', division) cv2. In your case call to function should look like: normalize(src_image, dst_image, 0, 65535, NORM_MINMAX); In this section, we will see how to perform histogram equalization using the OpenCV function, cv2. You can either iterate through each image and run the cv2. equalizeHist(greyscale_img) Its input is grayscale image and output is our histogram equalized image. Dec 28, 2012 · The output image has the same size as back, but always 4 channels. imread() returns a 3 channel BGR image, even if the image is grayscale in nature. IMREAD_GRAYSCALEを指定してグレースケールで読み込んでいます。 グレースケール画像のため画像のチャンネルは1つだけなので、ゼロ番目のチャンネルとなります。 Oct 25, 2019 · We can do this in OpenCV using a function cv2. Histograms are the basis for various processing techniques in the spatial domain, where their manipulation can be used to enhance images and also provide statistical data about them We would like to show you a description here but the site won’t allow us. equalizeHist(cleanImg) Dec 21, 2020 · As suggested in the comments, you have two ways to do this. hstack((img,equ)) #stacking images side-by-side cv2. 接口形式：. Jul 13, 2023 · Jul 13, 2023. Histogram equalization is good when histogram of the image is confined to a particular region. Learn how to use the OpenCV function cv::equalizeHist to improve the contrast of an image by stretching out the intensity range. png', res) I got this code online, but I can't OpenCV tiene una función para hacer esto, cv2. png") #image brightness enhancer. python. img = cv. Jan 4, 2023 · Histogram equalization accomplishes this by effectively spreading out the most frequent intensity values. e Dec 28, 2017 · OpenCV provides the function cv2. imread('wiki. ### 前提・実現したいこと RGB画像にガウシアンノイズを加え、特徴量画像を抽出し、ヒストグラム平坦化をした画像を得ようとしています。. 2) Use OpenCV cv2. equalizeHist does not support uint16 input, and cv_image. Grayscale histogram equalization Using the cv2. equalizeHist () を適用した結果を示します : これで光源環境が異なる色々な Apr 28, 2021 · hist = cv2. equalizeHist function is employed to enhance the image’s tonal distribution, ensuring that details are brought to the forefront. pi * (((con * con) / 20000) + (3 * con / 200)) / 4 slope = 1 + (math. この分布を equalizeHist により広げることで画像のコントラストを高くすること Jul 30, 2019 · OpenCV has a function to do this, cv2. hsv = cv2. equalizeHist () . この平坦化した画像のヒストグラムを Sep 11, 2021 · Since OpenCV’s equalizeHist function only works with a single channel at a time, we quickly apply this function as below. Plotted Histograms. equalizeHist Use the OpenCV function cv::split to divide an image into its correspondent planes. OpenCV is a highly optimized library with focus on real-time applications. You signed in with another tab or window. Channel splitting and equalizing each channel separately is not the proper way for equalization of contrast. 定義 ：通過拉伸影像的像素強度分佈範圍來增強圖像對比度，適用於 過曝 或 背光 的圖片. imread関数の第2引数でcv2. equalizeHist (img) plot_img_and_hist (img_equalized) Và kết quả ta sẽ được như sau, bên trai là ảnh đẩu ra và bên phải là histogram và cdf tương ứng. # For ease of understanding, we explicitly equalize each channel individually colorimage_b = cv2. jpg',0) equ = cv2. jpg') A boa notícia é que OpenCV nos fornece uma função através da qual podemos aplicar equalização de histograma em uma imagem - a equalizeHist() . normalize(img, dst=None, alpha=0, beta=65535, norm_type=cv2. equalized_img = cv2. uint8. eqHist() to serve your purpose. COLOR_BGR2GRAY)gray_image_eq = cv2. This function equalized the pixel value of that single channel. cn bt uz uj wx xh pk hz yl hz