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

‘’’
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

‘’’
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

‘’’
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

‘’’
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

‘’’
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 PSF
    ESC   - exit

Examples:
  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.jpg
  deconvolution.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 video

Synth examples:
    synth:bg=../data/lena.jpg:noise=0.1
    synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480

Keys:
    ESC    - exit
    SPACE  - save current frame to <shot path> directory

'''

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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 video

Synth examples:
    synth:bg=../data/lena.jpg:noise=0.1
    synth:class=chess:bg=../data/lena.jpg:noise=0.1:size=640x480

Keys:
    ESC    - exit
    SPACE  - save current frame to <shot path> directory

'''