文件列表:

RRC (0, 2006-09-13)
RRC\clear_all (119, 2006-08-12)
RRC\images (0, 2006-09-13)
RRC\images\104.pgm (154416, 2006-08-12)
RRC\images\112.pgm (154416, 2006-08-12)
RRC\images\123.pgm (154416, 2006-08-12)
RRC\images\13.pgm (154416, 2006-08-12)
RRC\images\154.pgm (154416, 2006-08-12)
RRC\images\194.pgm (154416, 2006-08-12)
RRC\images\216.pgm (154416, 2006-08-12)
RRC\images\239.pgm (154416, 2006-08-12)
RRC\images\246.pgm (154416, 2006-08-12)
RRC\images\282.pgm (154416, 2006-08-12)
RRC\images\28.pgm (154416, 2006-08-12)
RRC\images\290.pgm (154416, 2006-08-12)
RRC\images\296.pgm (154416, 2006-08-12)
RRC\images\36.pgm (154416, 2006-08-12)
RRC\images\39.pgm (154416, 2006-08-12)
RRC\images\47.pgm (154416, 2006-08-12)
RRC\images\58.pgm (154416, 2006-08-12)
RRC\images\84.pgm (154416, 2006-08-12)
RRC\images\89.pgm (154416, 2006-08-12)
RRC\images\96.pgm (154416, 2006-08-12)
RRC\install (47, 2006-09-13)
RRC\matlab (0, 2006-08-14)
RRC\matlab\batchDisplayResults.m (228, 2006-07-14)
RRC\matlab\batchPreprocess.m (215, 2006-07-14)
RRC\matlab\displayResults.m (6385, 2006-07-26)
RRC\matlab\edgelink.m (7212, 2006-07-14)
RRC\matlab\findMaxCorners.m (562, 2006-07-14)
RRC\matlab\generate_corner_img.m (592, 2006-07-14)
RRC\matlab\generate_lines_img.m (665, 2006-07-14)
RRC\matlab\harris.m (3756, 2006-07-14)
RRC\matlab\lineseg.m (3880, 2006-07-14)
RRC\matlab\maxlinedev.m (2110, 2006-07-14)
RRC\matlab\mergeseg.m (5028, 2006-07-14)
RRC\matlab\preprocess.m (2611, 2006-08-14)
RRC\source (0, 2006-09-13)
RRC\source\Makefile (420, 2006-09-13)
... ...

RRC (VERSION 2.0): A SALIENT BOUNDARY DETECTION TOOL BY COMBINING BOUNDARY AND REGION INFORMATION This software package is developed for detecting salient closed boundaries from an image. The main codes were implemented in C++ using gcc-4.1 in Linux. It also needs the recent Matlab Software (with Image Processing Toolbox) to perform some image preprocessing and result display. This work is covered by Copyright (c) University of South Carolina. It incorporates Blossom4 code for graph matching that is developed by W. Cook and A. Rohe. The technical details of this package can be found in the enclosed file "document.pdf". Authors: Joachim Stahl and Song Wang Update: 08/11/2006 INSTALL After unpacking the package, in the RRC folder, run ./install This will create an executable RRC. USAGE (1) Go to the folder "matlab", in the Matlab environment, run preprocess('path/foo') to preprocess the image "foo.pgm" and write the output to "path/foo.line s". To preprocess all .pgm files in 'path', use the function batchPreprocess.m instead, batchPreprocess('path') (2) From this installation folder, from the shell, run ./RRC path/foo to extract one salient boundary. We also provide the following choices: -l # - Set Lambda (default 0.0), a real positive number that weights the continuity (curvature) term. -a # - Set Alpha (default 1.0), the exponent for the gap lengths.It can take any real value. Recommended range between 1.0 and 2.0. -n # - Set the number of produced boundaries (default 1). -h - To use intensity homogeneity instead of region area. (3) Go to the folder "matlab", in the Matlab environment, run displayResults('path/foo', n) to display the n detected boundaries (numbered from 0 to n-1), which are also saved as EPS and PNG images in the folder "path/". A set of test images used in the enclosed "document.pdf" are included in the folder "images". CONTACT & BUG REPORT Song Wang Computer Vision Lab Department of Computer Science and Engineering University of South Carolina Columbia, SC 29208 Email: songwang@cse.sc.edu TEL: 1-803-777-2487 FAX: 1-803-777-3767 http://www.cse.sc.edu/~songwang

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