OpenCV例程赏析

①SITF特征检测匹配(目标查找)例程：…\opencv\sources\samples\python2\find_obj.py(asift.py)

#!/usr/bin/env python

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Feature-based image matching sample.

Note, that you will need the https://github.com/opencv/opencv_contrib repo for SIFT and SURF

USAGE
find_obj.py [–feature=<sift|surf|orb|akaze|brisk>[-flann]] [ ]

–feature - Feature to use. Can be sift, surf, orb or brisk. Append ‘-flann’
to feature name to use Flann-based matcher instead bruteforce.

Press left mouse button on a feature point to see its matching point.
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②图像缩略放大例程：…\opencv\sources\samples\python2\brows

#!/usr/bin/env python

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browse.py

Sample shows how to implement a simple hi resolution image navigation

Usage

browse.py [image filename]

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③camshift物体跟踪：…\opencv\sources\samples\python2\camshif

#!/usr/bin/env python

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Camshift tracker

This is a demo that shows mean-shift based tracking
You select a color objects such as your face and it tracks it.
This reads from video camera (0 by default, or the camera number the user enters)

http://www.robinhewitt.com/research/track/camshift.html

Usage:

camshift.py [<video source>]To initialize tracking, select the object with mouse

Keys:

ESC   - exit
b     - toggle back-projected probability visualization

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④一致增强滤波：…\opencv\sources\samples\python2\coherence.py

#!/usr/bin/env python

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Coherence-enhancing filtering example

inspired by
Joachim Weickert “Coherence-Enhancing Shock Filters”
http://www.mia.uni-saarland.de/Publications/weickert-dagm03.pdf
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⑤轮廓例子：…\opencv\sources\samples\python2\contours.py

#!/usr/bin/env python

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This program illustrates the use of findContours and drawContours.
The original image is put up along with the image of drawn contours.

Usage:
contours.py
A trackbar is put up which controls the contour level from -3 to 3
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⑥反褶积(反卷积/反滤波)：…\opencv\sources\samples\python2\deconvolution.py

#!/usr/bin/env python'''
Wiener deconvolution.Sample shows how DFT can be used to perform Weiner deconvolution [1]
of an image with user-defined point spread function (PSF)Usage:deconvolution.py  [--circle][--angle <degrees>][--d <diameter>][--snr <signal/noise ratio in db>][<input image>]Use sliders to adjust PSF paramitiers.Keys:SPACE - switch btw linear/cirular PSFESC   - exitExamples:deconvolution.py --angle 135 --d 22  ../data/licenseplate_motion.jpg(image source: http://www.topazlabs.com/infocus/_images/licenseplate_compare.jpg)deconvolution.py --angle 86 --d 31  ../data/text_motion.jpgdeconvolution.py --circle --d 19  ../data/text_defocus.jpg(image source: compact digital photo camera, no artificial distortion)[1] http://en.wikipedia.org/wiki/Wiener_deconvolution
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⑦边缘检测：…\opencv\sources\samples\python2\edge.py

#!/usr/bin/env python'''
Video capture sample.Sample shows how VideoCapture class can be used to acquire video
frames from a camera of a movie file. Also the sample provides
an example of procedural video generation by an object, mimicking
the VideoCapture interface (see Chess class).'create_capture' is a convenience function for capture creation,
falling back to procedural video in case of error.Usage:video.py [--shotdir <shot path>] [source0] [source1] ...'sourceN is an- integer number for camera capture- name of video file- synth:<params> for procedural videoSynth examples:synth:bg=../data/lena.jpg:noise=0.1synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480Keys:ESC    - exitSPACE  - save current frame to <shot path> directory'''

⑧人脸检测：…\opencv\sources\samples\python2\facedetect.py

#!/usr/bin/env python'''
Video capture sample.Sample shows how VideoCapture class can be used to acquire video
frames from a camera of a movie file. Also the sample provides
an example of procedural video generation by an object, mimicking
the VideoCapture interface (see Chess class).'create_capture' is a convenience function for capture creation,
falling back to procedural video in case of error.Usage:video.py [--shotdir <shot path>] [source0] [source1] ...'sourceN is an- integer number for camera capture- name of video file- synth:<params> for procedural videoSynth examples:synth:bg=../data/lena.jpg:noise=0.1synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480Keys:ESC    - exitSPACE  - save current frame to <shot path> directory'''

⑨floodfill图片分割：…\opencv\sources\samples\python2\floodfill.py

#!/usr/bin/env python

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Floodfill sample.

Usage:
floodfill.py []

Click on the image to set seed point

Keys:
f - toggle floating range
c - toggle 4/8 connectivity
ESC - exit
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⑩霍夫圆/线变换检测：…\opencv\sources\samples\python2\houghcircles.py(houghlines.py)

#!/usr/bin/python

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This example illustrates how to use cv.HoughCircles() function.

Usage:
houghcircles.py [<image_name>]
image argument defaults to …/data/board.jpg
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