Title :
A semi-automatic method for the discrimination of diseased regions in detached leaf images using fuzzy c-means clustering
Author :
Sekulska-Nalewajko, Joanna ; Goclawski, Jaroslaw
Author_Institution :
Comput. Eng. Dept., Tech. Univ. of Lodz, Lodz, Poland
Abstract :
This paper describes the segmentation method of stained leaf images for the purpose of the detection of leaf regions with anti-pathogen reaction colour products. The segmentation consist in the image conversion to HSV colour space and fuzzy c-means clustering in hue-saturation space to distinguish several pixels classes. These classes are then merged at the interactive stage into two final classes, where one of them determines the searched diseased areas.
Keywords :
image colour analysis; image segmentation; pattern clustering; HSV colour space; anti-pathogen reaction colour products; detached leaf images; fuzzy C-means clustering; fuzzy c-means clustering; hue saturation space; image conversion; image pixels classes; image segmentation; leaf regions detection; semi automatic method; stained leaf images; Blades; Clustering algorithms; Image color analysis; Image segmentation; MATLAB; Pixel; Cucurbita plants; HSV colour space; fungal infection; fuzzy c-means clustering; reactive oxygen species;
Conference_Titel :
Perspective Technologies and Methods in MEMS Design (MEMSTECH), 2011 Proceedings of VIIth International Conference on
Conference_Location :
Polyana
Print_ISBN :
978-1-4577-0639-4
Electronic_ISBN :
978-966-2191-18-9
