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: | Chun-Wei Chang, 張峻瑋 |
---|---|
Other Authors: | Hui-Fuang Huang |
Format: | Others |
Language: | zh-TW |
Published: |
2011
|
Online Access: | http://ndltd.ncl.edu.tw/handle/80523097443781263286 |
Similar Items
-
Citrus Leaf Disease Detection using Joint Scale Local Binary Pattern
by: Madiha Ashfaq, et al.
Published: (2020-12-01) -
Extension of Local Binary Pattern and Weber Local Descriptor and Color Image to Grayscale Conversion
by: Mei-Shuo Chen, et al.
Published: (2016) -
Fabric Defect Detection Using Modified Local Binary Patterns
by: A. Sheikhi, et al.
Published: (2008-01-01) -
Unsupervised Local Binary Pattern Histogram Selection Scores for Color Texture Classification
by: Mariam Kalakech, et al.
Published: (2018-09-01) -
Hierarchical local binary patterns for face recongition
by: CHANG, HSUAN-KAI, et al.
Published: (2017)