A pattern analysis-based segmentation to localize early and late blight disease lesions in digital images of plant leaves
This study reports a disease symptom classification algorithm using a proposed pattern recognition approach to individually localize early and late blight visual disease symptoms. The algorithm uses the pathological analogy hierarchy of the diseases to produce a novel homogeneous pattern localizatio...
Saved in:
Main Authors: | Muhammad Abdu, A., Mohd Mokji, M., Sheikh, U. U. |
---|---|
格式: | Conference or Workshop Item |
语言: | English |
出版: |
2019
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/91911/1/AliyuMuhammadAbdu2019_APatternAnalysisBasedSegmentation.pdf http://eprints.utm.my/id/eprint/91911/ http://dx.doi.org/10.1109/ICSIPA45851.2019.8977798 |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
Quantification and localisation of individual leaf disease lesion for grading severity of late blight
由: Abdu, A. M., et al.
出版: (2020) -
Automated assessment for early and late blight leaf diseases using extended segmentation and optimized features
由: Muhammad Abdu, Aliyu
出版: (2021) -
Automatic disease symptoms segmentation optimized for dissimilarity feature extraction in digital photographs of plant leaves
由: Abdu, A. M., et al.
出版: (2019) -
Automatic vegetable disease identification approach using individual lesion features
由: Abdu, Aliyu Muhammad, et al.
出版: (2020) -
Segmentation of acne vulgaris lesions
由: Ramli, Roshaslinie, et al.
出版: (2011)