The improved algorithm for color-texture image segmentation

Author

Junfeng, Jing ; Pengfei, Li ; Guanshui, Long

Author_Institution

Coll. of Electron. & Inf., Xi´´an Polytech. Univ., Xi´´an, China

fYear

2011

fDate

27-29 May 2011

Firstpage

47

Lastpage

50

Abstract

This paper present an improved algorithm based seeded region growing (SRG) for color-texture textile image segmentation. The algorithm improve the over-segmented phenomenon of the color-texture textile image used Euclidean distance, relative Euclidean distance and discrete cosine transform (DCT) to quantify the color and texture information in seed selection, region growing and region merging steps. Experimental results show that the algorithm has good segmented results for color-texture textile image in the case of selecting appropriate parameters.

Keywords

discrete cosine transforms; image colour analysis; image segmentation; image texture; textiles; Euclidean distance; discrete cosine transform; image color analysis; image texture; improved algorithm; region growing; region merging; seeded region growing; textile image segmentation; Image segmentation; Euclidean distance; color-texture segmentation; discrete cosine transform; relative Euclidean distance; seeded region growing; textile image;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-61284-485-5

Type

conf

DOI

10.1109/ICCSN.2011.6014385

Filename

6014385