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# ImageSegmentor | ||
segment remotely sensed images into meaningful regions | ||
segment remotely sensed images into meaningful regions. | ||
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This software has realized the following methods for segmentating images: graph based segmentation, quad tree segmentation, multiresolution segmentation, and two-stage segmentation, watershed, mean shift; also, mrf classification, primitive building extraction, change detection based on gradient correlation, histogram matching, intensity correlation and rosin automatic thresholding. | ||
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The release version has been tested to run successfully over windows XP, windows 7 operating systems. It is written by C++ language, compiled in Visual C++ 6.0. | ||
# Dependencies | ||
OpenCV 1.0 libraries are used to support some routines, such as region geometrical properties computation, morphological operations, k-means clustering. The GDAL library is used to read and write a host of image formats, *.tif, *.img, etc., and to produce vector files, such as *.shp. Both of OpenCV and GDAL are included in the package for easy compilation. | ||
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# Installation | ||
(1) clone this package onto your computer | ||
(2) Open the image.dsw file in the root directory in Visual C++6.0 compiler | ||
(3) Compile and Debug. If there are linking problems, you may have to change the project settings to link libraries for GDAL and OpenCV. | ||
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More information about this package can be found at http://blog.csdn.net/pobudeyi/article/details/6074118 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,13 @@ | ||
# ImageSegmentor | ||
segment remotely sensed images into meaningful regions. | ||
|
||
This software has realized the following methods for segmentating images: graph based segmentation, quad tree segmentation, multiresolution segmentation, and two-stage segmentation, watershed, mean shift; also, mrf classification, primitive building extraction, change detection based on gradient correlation, histogram matching, intensity correlation and rosin automatic thresholding. | ||
|
||
The release version has been tested to run successfully over windows XP, windows 7 operating systems. It is written by C++ language, compiled in Visual C++ 6.0. | ||
# Dependencies | ||
OpenCV 1.0 libraries are used to support some routines, such as region geometrical properties computation, morphological operations, k-means clustering. The GDAL library is used to read and write a host of image formats, *.tif, *.img, etc., and to produce vector files, such as *.shp. Both of OpenCV and GDAL are included in the package for easy compilation. | ||
|
||
# Installation | ||
(1) clone this package onto your computer | ||
(2) Open the image.dsw file in the root directory in Visual C++6.0 compiler | ||
(3) Compile and Debug. If there are linking problems, you may have to change the project settings to link libraries for GDAL and OpenCV. |