![]() 转自 A good article :csi cameras on the TX2 (the easy Way) Plt.savefig('E:/wulingfei/image_processing/lenna_6.jpeg', bbox_inches=None) Plt.savefig('E:/wulingfei/image_processing/lenna_5.jpeg', bbox_inches=None)įigure(num=None, figsize=(12, 4), dpi=80, facecolor='w', edgecolor='k') # The final result is sharp in the centre and smooths out to the borders: # Array C will have the highest values in the center, fading out to the edges: ![]() # This breaks up the image into RGB channels #-Putting the center in focus-įigure(num=None, figsize=(12, 8), dpi=80, facecolor='w', edgecolor='k') Plt.savefig('E:/wulingfei/image_processing/lenna_4.jpeg', bbox_inches=None) Impeper=np.minimum(pepper*30 + imsalt*(~pepper), imsalt) Pepper = np.random.random(imgray.shape) >. Plt.savefig('E:/wulingfei/image_processing/lenna_3.jpeg', bbox_inches=None) Plt.savefig('E:/wulingfei/image_processing/lenna_2.jpeg', bbox_inches=None) Otsubin = mh.open(otsubin, np.ones((5,5))) Plt.savefig('E:/wulingfei/image_processing/lenna_1.jpeg', bbox_inches=None)įigure(num=None, figsize=(8, 8), dpi=80, facecolor='w', edgecolor='k') ![]() Imgray = mh.colors.rgb2gray(image, dtype=np.uint8) Image = mh.imread('E:/wulingfei/image_processing/Lenna_raw.jpg') ![]() Plt.savefig('E:/wulingfei/image_processing/dna_7.jpeg', bbox_inches=None)įigure(num=None, figsize=(8, 4), dpi=80, facecolor='w', edgecolor='k') Plt.savefig('E:/wulingfei/image_processing/dna_6.jpeg', bbox_inches=None) Plt.savefig('E:/wulingfei/image_processing/dna_5.jpeg', bbox_inches=None)ĭist = ndimage.distance_transform_edt(dnaf > T) Plt.savefig('E:/wulingfei/image_processing/dna_4.jpeg', bbox_inches=None) Labeled,nr_objects = ndimage.label(dnaf > T) Plt.savefig('E:/wulingfei/image_processing/dna_3.jpeg', bbox_inches=None) Plt.savefig('E:/wulingfei/image_processing/dna_2.jpeg', bbox_inches=None) Plt.savefig('E:/wulingfei/image_processing/dna_1.jpeg', bbox_inches=None) ![]()
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