normalized-cut segmentation using color and texture data

버전 (21.5 KB) 작성자: Alireza
This code implemented a “normalized-cut” segmentation using color and texture information
다운로드 수: 1.7K
업데이트 날짜: 2015/8/27

라이선스 보기

This code segment an image using color, texture and spatial data
RGB color is used as an color data
Four texture features are used: 1. mean 2. variance 3. skewness 4. kurtosis
Normalized Cut (inherently uses spatial data)
ncut parameters are "SI" Color similarity, "ST" Texture similarity, "SX" Spatial similarity, "r" Spatial threshold (less than r pixels apart), "sNcut" The smallest Ncut value (threshold) to keep partitioning, and "sArea" The smallest size of area (threshold) to be accepted as a segment
an implementation by "Naotoshi Seo" with a small modification is used for “normalized-cut” segmentation, available online at: "", It is sensitive in choosing parameters.

인용 양식

Alireza (2024). normalized-cut segmentation using color and texture data (, MATLAB Central File Exchange. 검색됨 .

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개발 환경: R2011a
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