用于去除图像中阴影的色彩校正

如何解决用于去除图像中阴影的色彩校正

https://i.stack.imgur.com/u95kE.jpg

class Layer2:
    @classmethod
    def shadowRemoval(cls,img):
        image = cv2.imread(img)

        ycbcrImage = cv2.cvtColor(image,cv2.COLOR_BGR2YCrCb)

        binaryMask = np.copy(ycbcrImage)

        yMean = np.mean(cv2.split(ycbcrImage)[0])

        yStd = np.std(cv2.split(ycbcrImage)[0])

        for i in range(ycbcrImage.shape[0]):
            for j in range(ycbcrImage.shape[1]):
                if ycbcrImage[i,j,0] < yMean - (yStd / 3):
                    binaryMask[i,j] = [255,255,255]
                else:
                    binaryMask[i,j] = [0,0]

        kernel = np.ones((3,3),np.uint8)
        erosion = cv2.erode(binaryMask,kernel,iterations=1)

        spiLa = 0
        spiS = 0
        nLa = 0
        nS = 0

        for i in range(ycbcrImage.shape[0]):
            for j in range(ycbcrImage.shape[1]):
                if erosion[i,0] == 0 and erosion[i,1] == 0 and erosion[i,2] == 0:
                    spiLa = spiLa + ycbcrImage[i,0]
                    nLa += 1
                else:
                    spiS = spiS + ycbcrImage[i,0]
                    nS += 1

        averageLd = spiLa / nLa

        averageLe = spiS / nS

        iDiff = averageLd - averageLe

        ratioAsAl = averageLd / averageLe

        for i in range(ycbcrImage.shape[0]):
            for j in range(ycbcrImage.shape[1]):
                if erosion[i,0] == 255 and erosion[i,1] == 255 and erosion[i,2] == 255:
                    ycbcrImage[i,j] = [ycbcrImage[i,0] + iDiff,ycbcrImage[i,1] + ratioAsAl,2] + ratioAsAl]

        final_image = cv2.cvtColor(ycbcrImage,cv2.COLOR_YCR_CB2BGR)

        image = imutils.resize(final_image,width=1000)
        cv2.imshow("img",ycbcrImage)
        cv2.imwrite("img.png",image)
        cv2.waitKey(0)


Layer2.shadowREmoval("image.png")

https://i.stack.imgur.com/0oIny.jpg

检测阴影区域后，结果图像已从ycbcr图像空间转换为BGR图像空间，我应该在结果图像上应用什么技术/方法以获得适当的BGR。

提前致谢。