#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests the various feature detector algorithms in OpenCV 2.4 on one image
@SINCE: Thu Sep 13 23:01:23 2012
@VERSION: 0.1
@REQUIRES: OpenCV 2.4 (I used 2.4.0), matplotlib
@AUTHOR: Ripley6811
@ORGANIZATION: National Cheng Kung University, Department of Earth Sciences
"""
__author__ = 'Ripley6811'
__copyright__ = ''
__license__ = ''
__date__ = 'Thu Sep 13 23:01:23 2012'
__version__ = '0.1'
import matplotlib.pyplot as plt # plt.plot(x,y) plt.show()
import cv2
import time
def test_feature_detector(detector, imfname):
image = cv2.imread(imfname)
forb = cv2.FeatureDetector_create(detector)
# Detect crashes program if image is not greyscale
t1 = time.time()
kpts = forb.detect(cv2.cvtColor(image, cv2.COLOR_BGR2GRAY))
t2 = time.time()
print detector, 'number of KeyPoint objects', len(kpts), '(time', t2-t1, ')'
return kpts
def main():
imfname = r'_______.bmp'
detector_format = ["","Grid","Pyramid"]
# "Dense" and "SimpleBlob" omitted because they caused the program to crash
detector_types = ["FAST","STAR","SIFT","SURF","ORB","MSER","GFTT","HARRIS"]
for form in detector_format:
for detector in detector_types:
kpts = test_feature_detector(form + detector, imfname)
# KeyPoint class: angle, class_id, octave, pt, response, size
plt.figure(form + detector)
for k in kpts:
x,y = k.pt
plt.plot(x,-y,'ro')
plt.axis('equal')
plt.show()
if __name__ == '__main__':
main()
