Content Based Image Retrieval using Texture Features for Plant Leaf Diseases |
Author(s): |
| Arti Shankar Rane , SVPM's COE,MALEGAON BK; Shraddha Sunil Lende, SVPM's COE,MALEGAON BK; Arsha Vikram, SVPM's COE,MALEGAON BK; Anil A.Patil, SVPM's COE,MALEGAON BK |
Keywords: |
| CBIR, Feature Extraction, Texture Features, Gabor Filter, LBP |
Abstract |
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This paper presents Content based Image Retrieval (CBIR) using various texture features. Content based image retrieval is a system by which several images are retrieved from large database collection. This system is developed for retrieving diseased leaf images of soybean. Performance of traditional texture features like Gabor and local Binary Pattern (LBP) is analyzed and compared .The Performance of all these two features is analyzed with respect to retrieval precision and recall rate. It is observed that performance of LBP feature is better than Gabor filter. |
Other Details |
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Paper ID: IJSRDV6I20360 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 531-534 |
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