Distinguish of Tobacco Leaf Image Through Digital Image Processing Technology

doi:10.3969/j.cnki.jdxb.2017.02.010

Abstract

Abstract:

To realize intelligent identification of tobacco with red star disease and timely harvesting,and thus improve the yield and quality of tobacco,image processing technology is employed to study the fresh tobacco with three types red star diseases.The tobacco leaf image is analyzed in terms of the gray level co-occurrence matrix.The edge detection methods of Roberts,Sobel,Canny,and LoG operator are applied to segment the red star disease texture regions of the tobacco images.The detection method based on LoG operator is improved to obtain clear regional image with less noise points.

Key words: red star disease tobacco, gray level co-occurrence matrix, edge detection, texture region

TENG Juan，LI Jianfeng,CHEN Liuyang,YANG Ju. Distinguish of Tobacco Leaf Image Through Digital Image Processing Technology[J]. Journal of Jishou University（Natural Sciences Edition), DOI: 10.3969/j.cnki.jdxb.2017.02.010.

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