This article covered some basic OpenCV samples. We will use a lot of concepts from these samples in the rest of our life.
The package contains code samples used in this article is available for you to download. If you encounter problems with compiling or running the samples, feel free to contact me [at] nashruddin.com.
Further readings:
Learning OpenCV: Computer Vision with the OpenCV Library
By: Gary Bradski, Adrian Kaehler
This book is the "de facto" OpenCV User's Manual. It provides a practical, pragmatic, accessible book on computer vision, with algorithmic explanation and concrete example code snippets. Written by the creators of OpenCV, no doubt you should obtain a copy.
Machine Vision: Theory, Algorithms, Practicalities (Signal Processing and its Applications)
By: E. R. Davies
This book provides a solid and concrete foundation to computer vision from engineering point of view. Use Learning OpenCV from Gary Bradsky to learn how to use OpenCV, and use this book to understand how OpenCV works behind the screen.
C Programming Language (2nd Edition)
By: Brian W. Kernighan
For you who new to C programming, this is a must-have book for you. Written by the C creator himself, this book is concise and powerful, just like C itself.
| 6. Access Image Data |
Nash on Jun 17, 2008:
Jyoti Gupta on Oct 20, 2008:
Amine on Dec 14, 2008:
Nash on Dec 20, 2008:
Kaveh on Dec 29, 2008:
Deena on Apr 1, 2009:
Nash on Apr 1, 2009:
cvSetImageROI to set Region of Interest. See this post for examples:Deena on Apr 2, 2009:
Innocent on Apr 11, 2009:
Indhu on Apr 21, 2009:
Indhu on Apr 23, 2009:
Nash on Apr 23, 2009:
achu18 on Jun 2, 2009:
Nash on Jun 2, 2009:
cvSplit function. e.g:Hayder on Nov 11, 2009:
r = data[i*step + j*nchannels + 0];
g = data[i*step + j*nchannels + 1];
b = data[i*step + j*nchannels + 2];b = data[i*step + j*nchannels + 0];
g = data[i*step + j*nchannels + 1];
r = data[i*step + j*nchannels + 2];Huy Vo on Mar 20, 2010:
Nikhil on Jun 8, 2010:
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