Study Surveys on Image Segmentation of Plant Disease Spot

Abstract:

Segmentation is a fundamental component of many image-processing applications. Various algorithms were proposed so far for segmentation of plant disease images. The researchers raised some corresponding solutions to different characteristics of disease spot, and these algorithms are continually improved to enhance the speed and veracity. Based on current progress, this paper gives a study on the image segmentation classification. In addition, this article also makes a comprehensive expatiation on how to solve the problem of plant disease spot by using image segmentation techniques. In the end, open problems and future trend of segmentation algorithm were discussed.

• Periodical: Advanced Materials Research (Volumes 542-543)
• Pages: 1047-1050
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.542-543.1047
• Online since: June 2012
• Authors: Zhi Hua Diao, Yin Mao Song, Huan Wang, Yun Peng Wang
• Keywords: Artificial Neural Network (ANN), Image Segmentation, Mathematical Morphology, Plant Disease Spot, Thresholding

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