DocumentCode
238014
Title
Analysis of segmentation scheme for diseased rice leaves
Author
Devi, D. Amutha ; Muthukannan, K.
Author_Institution
Dept. of ECE, Einstein Coll. of Eng., Tirunelveli, India
fYear
2014
fDate
8-10 May 2014
Firstpage
1374
Lastpage
1378
Abstract
For any automated image analysis process, the segmentation is an important task because all subsequent tasks in image processing heavily rely on the quality of image segmentation. It determines the eventual success or failure of the analysis. The problem in image segmentation occurs when an image has a varying gray level background. There are several algorithms and methods are available for image segmentation, but there is a need to develop a unique method for it. In this paper, some of the image segmentation algorithms are compared to segment the diseased portion of rice leaves.
Keywords
crops; image segmentation; plant diseases; automated image analysis process; image segmentation algorithms; image segmentation quality; rice leave diseased portion segmentation; segmentation scheme analysis; varying gray level background; Biology; Databases; Image segmentation; Lead; Lighting; PSNR; Silicon; Image segmentation; correlation; mean shift; paddy disease; region growing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location
Ramanathapuram
Print_ISBN
978-1-4799-3913-8
Type
conf
DOI
10.1109/ICACCCT.2014.7019325
Filename
7019325
Link To Document