ImageExtractor.py 文件源码

def apply_filters(self, image, denoise=False):
        """ This method is used to apply required filters to the
            to extracted regions of interest. Every square in a
            sudoku square is considered to be a region of interest,
            since it can potentially contain a value. """
        # Convert to grayscale
        source_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
        # Denoise the grayscale image if requested in the params
        if denoise:
            denoised_gray = cv2.fastNlMeansDenoising(source_gray, None, 9, 13)
            source_blur = cv2.GaussianBlur(denoised_gray, BLUR_KERNEL_SIZE, 3)
            # source_blur = denoised_gray
        else:
            source_blur = cv2.GaussianBlur(source_gray, (3, 3), 3)
        source_thresh = cv2.adaptiveThreshold(source_blur, 255, 0, 1, 5, 2)
        kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (3, 3))
        source_eroded = cv2.erode(source_thresh, kernel, iterations=1)
        source_dilated = cv2.dilate(source_eroded, kernel, iterations=1)
        if ENABLE_PREVIEW_ALL:
            image_preview(source_dilated)
        return source_dilated