DocumentCode :
3252929
Title :
A methodological survey of image segmentation using soft computing techniques
Author :
Singh, Vijai ; Gupta, Shivangi ; Saini, Shrutika
Author_Institution :
IMS Eng. Coll., Ghaziabad, India
fYear :
2015
fDate :
19-20 March 2015
Firstpage :
419
Lastpage :
422
Abstract :
This paper presents a state of art review of image segmentation using soft computing techniques. Some of these techniques are explained by in what ways they similar to GAs and in what ways they differ. Different soft techniques of implementing image segmentation have been reviewed in this paper. Finally, summaries and review of research work on image segmentation using soft computing techniques has been represented.
Keywords :
image segmentation; neural nets; image segmentation; soft computing techniques; Biomedical imaging; Color; Genetic algorithms; Image segmentation; Neural networks; Optimization; Genetic algorithm; Image processing; Soft Computing Techniques;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICACEA.2015.7164741
Filename :
7164741
Link To Document :
بازگشت