图像中的峰值邻域检测

Question

我已经实施了解决方案here。这是一段非常好的代码，但它只能获得本地的单个像素最大值。 我需要的是获得最大值及其邻域，假设一个以局部最大值为中心的3x3矩阵。

我有以下代码只能获取本地最大值和最小值，而不是它们的周围环境：

def detect_peaks(self, image=None, radius=1):
        """
        Takes an image and detect the peaks usingthe local maximum filter.
        Returns a boolean mask of the peaks (i.e. 1 when
        the pixel's value is the neighborhood maximum, 0 otherwise)
        """

        if (image == None):
            image = self.getParticlesMatrix()

        # define an 8-connected neighborhood
        r = 2
        neighborhood = generate_binary_structure(r,r)

        #apply the local maximum filter; all pixel of maximal value
        #in their neighborhood are set to 1
        local_max = maximum_filter(image, footprint=neighborhood) == image
        #local_max is a mask that contains the peaks we are
        #looking for, but also the background.
        #In order to isolate the peaks we must remove the background from the mask.

        local_min = minimum_filter(image, footprint=neighborhood) == image

        #we create the mask of the background
        background = (image == 0)

        #a little technicality: we must erode the background in order to
        #successfully subtract it form local_max, otherwise a line will
        #appear along the background border (artifact of the local maximum filter)
        eroded_background = binary_erosion(background, structure=neighborhood, border_value=1)

        #we obtain the final mask, containing only peaks,
        #by removing the background from the local_max mask
        detected_peaks = (local_max - eroded_background) + (local_min - eroded_background)

        return np.multiply( detected_peaks, image )

注意参数r = 2，我试过r = 3但它不起作用。

问题是：如何过滤以获取图片局部最大值和最小值以及周围环境？

感谢。