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
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;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4799-3913-8
DOI :
10.1109/ICACCCT.2014.7019325
