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// lib-tv.lnt // Library Options file for Turbo-Vision -elib(569) // initializes an int (evMessage) with a 0xFF00 -elib(763) // some declarations within headers get

%IGAMMA Gamma correction % % g = igamma(image, gamma) % % Return a gamma corrected version of IMAGE. All pixels % are raised to the power GAMMA. % % % Copyright (c) Peter Corke, 1999 Machine Vision

// lib-tv.lnt // Library Options file for Turbo-Vision -elib(569) // initializes an int (evMessage) with a 0xFF00 -elib(763) // some declarations within headers get

// lib-tv.lnt // Library Options file for Turbo-Vision -elib(569) // initializes an int (evMessage) with a 0xFF00 -elib(763) // some declarations within headers get

%IGAMMA Gamma correction % % g = igamma(image, gamma) % % Return a gamma corrected version of IMAGE. All pixels % are raised to the power GAMMA. % % % Copyright (c) Peter Corke, 1999 Machine Vision

%IGAMMA Gamma correction % % g = igamma(image, gamma) % % Return a gamma corrected version of IMAGE. All pixels % are raised to the power GAMMA. % % % Copyright (c) Peter Corke, 1999 Machine Vision

@article{Corke05f, Author = {P.I. Corke}, Journal = {IEEE Robotics and Automation Magazine}, Title = {Machine Vision Toolbox}, Month = nov, Volume = {12}, Number = {4}, Yea

[ApplicationTitle] TitleStr=电信网关平台(3.0) [Loginparams] ClientID=6666 spid=1186666 sharesecret= ServerIP=218.66.66.66 ServerPort=8890 Vision=30 [LoginMode] Mode=0 [loginparams1] Login

/* Functions for detecting SIFT image features. For more information, refer to: Lowe, D. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60

[ApplicationTitle] TitleStr=电信网关平台(3.0) [Loginparams] ClientID=6666 spid=1186666 sharesecret= ServerIP=218.66.66.66 ServerPort=8890 Vision=30 [LoginMode] Mode=0 [loginparams1] Login