shape.py 文件源码

def _shape(self,img):
        """
        ??????????????
        :param img:
        :return: ????
        """

        operator1 = np.fromfunction(self._gauss, (5, 5), sigma=self._sigma)
        operator2 = np.array([[1, 1, 1],
                           [1,-8, 1],
                           [1, 1, 1]])
        image_blur = signal.convolve2d(img, operator1, mode="same")
        # ?????????????
        image2 = signal.convolve2d(image_blur, operator2, mode="same")
        if image2.max() != 0:
            image2 = (image2 / float(image2.max())) * 255
        else:
            image2 = np.zeros(image2.shape)
        # ??????????????255???????????
        image2[image2>image2.mean()] = 255
        # ?????????????
        image2[image2 <=image2.mean()] =0
        return image2