fast检测器（编译不过kp = fast.detect(img , None)类型不对先记录下来以后查看源码）

qq_32340685

于 2018-11-17 22:44:46 发布

阅读量976

点赞数

CC 4.0 BY-SA版权

分类专栏：视觉算法文章标签： python

本文链接：https://blog.youkuaiyun.com/qq_32340685/article/details/84194012

视觉算法专栏收录该内容

9 篇文章

订阅专栏

本文通过使用Python的OpenCV库，详细介绍了FAST特征检测器的工作原理及应用。演示了如何读取图片，显示图片轮廓，并利用FAST算法检测关键点。同时，展示了非极大值抑制对关键点数量的影响，对比了其开启和关闭时的区别。

import cv2
import numpy as np
from matplotlib import pyplot as plt



img = cv2.imread('left08.jpg',0)
cv2.imshow("contours", img)
fast = cv2.FastFeatureDetector()
print(type(fast))
kp = fast.detect(img , None)
img2 = cv2.drawKeypoints(img, kp, color=(255, 0, 0))
print("Threshold: ", fast.getInt('threshold'))
print("nonmaxSuppression:: ", fast.getBool('nonmaxSuppression'))
print("neighborhood:: ", fast.getInt('type'))
print("Total Keypoints with nonmaxSuppression:: ", len(kp))

cv2.imwrite('fast_true.png',img2)
kp = fast.detect(img,None)
print ("Total Keypoints without nonmaxSuppression: ", len(kp))
img3 = cv2.drawKeypoints(img, kp, color=(255,0,0))




#fast(src)
#cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)

cv2.waitKey(0)

cv2.destroyAllWindows()