基本思想
1、选择图像上任何方向的固定窗口滑动。如果灰度变化很大，则认为窗口内部有一个角。
2、步骤，阅读并将其转换为灰度图。估计响应函数。根据响应值选择角度。绘制原始图表上的检测角度。
实例
frompylabimport*
fromnumpyimport*
fromscipy.ndimageimportfilters
defcompute_harris_response(im,sigma=3):
"""ComputetheHarriscornerdetectorresponsefunction
foreachpixelinagraylevelimage."""
#derivatives
imx=zeros(im.shape)
filters.gaussian_filter(im,(sigma,sigma),(0,1),imx)
imy=zeros(im.shape)
filters.gaussian_filter(im,(sigma,sigma),(1,0),imy)
#computecomponentsoftheHarrismatrix
Wxx=filters.gaussian_filter(imx*imx,sigma)
Wxy=filters.gaussian_filter(imx*imy,sigma)
Wyy=filters.gaussian_filter(imy*imy,sigma)
#determinantandtrace
Wdet=Wxx*Wyy-Wxy**2
Wtr=Wxx+Wyy
returnWdet/Wtr
defget_harris_points(harrisim,min_dist=10,threshold=0.1):
"""ReturncornersfromaHarrisresponseimage
min_dististheminimumnumberofpixelsseparating
cornersandimageboundary."""
#findtopcornercandidatesaboveathreshold
corner_threshold=harrisim.max()*threshold
harrisim_t=(harrisim>corner_threshold)*1
#getcoordinatesofcandidates
coords=array(harrisim_t.nonzero()).T
#...andtheirvalues
candidate_values=[harrisim[c[0],c[1]]forcincoords]
#sortcandidates(reversetogetdescendingorder)
index=argsort(candidate_values)[::-1]
#storeallowedpointlocationsinarray
allowed_locations=zeros(harrisim.shape)
allowed_locations[min_dist:-min_dist,min_dist:-min_dist]=1
#selectthebestpointstakingmin_distanceintoaccount
filtered_coords=[]
foriinindex:
ifallowed_locations[coords[i,0],coords[i,1]]==1:
filtered_coords.append(coords[i])
allowed_locations[(coords[i,0]-min_dist):(coords[i,0]+min_dist),
(coords[i,1]-min_dist):(coords[i,1]+min_dist)]=0
returnfiltered_coords
defplot_harris_points(image,filtered_coords):
"""Plotscornersfoundinimage."""
figure()
gray()
imshow(image)
plot([p[1]forpinfiltered_coords],
[p[0]forpinfiltered_coords],'*')
axis('off')
show()fromPILimportImage
fromnumpyimport*
#这就是为什么上面要新建一个，因为import现在可以了
importHarris_Detector
frompylabimport*
fromscipy.ndimageimportfilters
#filename
im=array(Image.open(r"").convert('L'))
harrisim=Harris_Detector.compute_harris_response(im)
filtered_coords=Harris_Detector.get_harris_points(harrisim)
Harris_Detector.plot_harris_points(im,filtered_coords)以上就是python中Harris角点的检测方法，希望对大家有所帮助。更多Python学习指导：python基础教程
本文教程操作环境：windows7系统Python 3.9.1，DELL G3电脑。