Detecting Plant Diseases Using Color Local Binary Patterns
碩士 === 亞洲大學 === 資訊工程學系碩士班 === 99 === This study presents a method for detecting plant diseases using color Local Binary Patterns (LBP). LBP provides highly discriminative texture information and is invariant to any monotonic changes in gray level. The proposed method uses pixel color and the LBP fea...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/80523097443781263286 |
| Summary: | 碩士 === 亞洲大學 === 資訊工程學系碩士班 === 99 === This study presents a method for detecting plant diseases using color Local Binary Patterns (LBP). LBP provides highly discriminative texture information and is invariant to any monotonic changes in gray level. The proposed method uses pixel color and the LBP features extracted from a region surrounding a pixel to segment the diseased regions. Experimental results show that color LBP texture features combining with Support Vector Machine (SVM) classifier are effective for segmenting diseased regions in plant color images.
|
|---|