slective_search
所属分类：matlab编程
开发工具：WINDOWS
文件大小：314KB
下载次数：3
上传日期：2018-03-28 09:37:11
上 传 者：
lohaspig
说明： 目标检测算法中常用到的slective search，在图像中提供候选窗口以供下一步提取特征
(Slective search, which is commonly used in the target detection algorithm, provides a candidate window in the image for the next step of extracting features)
文件列表:
BlobAverageBestOverlap.m (2611, 2013-06-14)
RecreateBlobHierarchy.m (929, 2013-06-14)
BlobBestOverlap.m (751, 2013-06-14)
compile.m (210, 2014-04-25)
mexCountWordsIndex.mexw64 (8704, 2014-04-25)
mexFelzenSegmentIndex.mexw64 (23552, 2014-04-25)
anigauss.mexw64 (22528, 2014-04-25)
demoPascal2007.m (4344, 2014-04-25)
BoxAverageBestOverlap.m (1680, 2014-04-25)
testVOC07.m (345, 2014-04-25)
isNameValid.m (135, 2014-04-26)
makeDir.m (69, 2014-04-26)
FilterBlobsWidth.m (580, 2014-09-17)
RecreateBlobHierarchiesIndIm.m (1063, 2014-09-17)
Image2HierarchicalGrouping.m (3821, 2014-11-02)
isFile.m (298, 2014-11-03)
selective_search_regions_warpper.m (2718, 2014-11-03)
Dependencies\anigaussm\anigauss.c (19447, 2013-05-31)
Dependencies\anigaussm\anigauss.m (4481, 2013-05-31)
Dependencies\anigaussm\anigauss_mex.c (1753, 2013-05-31)
Dependencies\Blob2Image.p (203, 2013-05-31)
Dependencies\Blob2Vector.p (200, 2013-05-31)
Dependencies\BlobAddSizes.p (138, 2013-05-31)
Dependencies\BlobAddTextureHists.p (220, 2013-05-31)
Dependencies\Blobs2Boxes.p (148, 2013-05-31)
Dependencies\BoxBestOverlap.m (713, 2013-06-14)
Dependencies\BoxIntersection.m (645, 2013-06-14)
Dependencies\BoxRemoveDuplicates.m (536, 2013-06-14)
Dependencies\BoxSize.m (625, 2013-06-14)
Dependencies\BoxUnion.m (371, 2013-06-14)
Dependencies\CountVisualWordsIndex.m (1108, 2013-06-14)
Dependencies\FelzenSegment\convolve.h (2009, 2013-05-31)
Dependencies\FelzenSegment\COPYING (18326, 2013-05-31)
Dependencies\FelzenSegment\disjoint-set.h (1857, 2013-05-31)
Dependencies\FelzenSegment\filter.h (3073, 2013-05-31)
Dependencies\FelzenSegment\image.h (2395, 2013-05-31)
Dependencies\FelzenSegment\imconv.h (5103, 2013-05-31)
Dependencies\FelzenSegment\imutil.h (1714, 2013-05-31)
Dependencies\FelzenSegment\Makefile (361, 2013-05-31)
Dependencies\FelzenSegment\mexFelzenSegmentIndex.cpp (7971, 2013-06-14)
... ...
Implementation of the segmentation algorithm described in:
Efficient Graph-Based Image Segmentation
Pedro F. Felzenszwalb and Daniel P. Huttenlocher
International Journal of Computer Vision, 59(2) September 2004.
The program takes a color image (PPM format) and produces a segmentation
with a random color assigned to each region.
1) Type "make" to compile "segment".
2) Run "segment sigma k min input output".
The parameters are: (see the paper for details)
sigma: Used to smooth the input image before segmenting it.
k: Value for the threshold function.
min: Minimum component size enforced by post-processing.
input: Input image.
output: Output image.
Typical parameters are sigma = 0.5, k = 500, min = 20.
Larger values for k result in larger components in the result.
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