Edge_Detection.py 文件源码

def main(input_pic):
    img = cv.imread(input_pic,cv.CV_LOAD_IMAGE_GRAYSCALE)
    img=sp.gaussian_filter(img,sigma=3)
    img= imresize(img,((len(img)/10),(len(img[0])/10)))
    img_arr=np.asarray(img,dtype="int32")

    LoG_arr=LoG_Filter(img_arr)
    cv.imwrite('LoG_image.jpg',LoG_arr)
    LoG_arr=cv.imread('LoG_image.jpg',cv.CV_LOAD_IMAGE_GRAYSCALE)
    Hist=genHistogram(LoG_arr)
    #print(Hist)
    for i in range(0,len(LoG_arr)):
        for j in range(0,len(LoG_arr[0])):
             if LoG_arr[i][j]<200:
                 LoG_arr[i][j]=0
             else:
                 LoG_arr[i][j]=255

    cv.imwrite('LoG_image.jpg',LoG_arr)    
    #img_new=cv.imread('LoG_image.jpg',cv.CV_LOAD_IMAGE_GRAYSCALE)