원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.2
2015.02
pp.287-302
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper presents a methodology to recognize certain crop fields’ images using texture, color and combination of both types of features. In this work, we have considered eight varieties of crop images, namely, Brinjal, Cotton, Groundnut, Paddy, Soyabean, Sugarcane and Sunflower. Texture features using GLCM and color features using HSV are deployed. Artificial Neural Network (ANN) is used for recognition. Considering only as feature, classification accuracies of 63.75%, 66.25% and 84.375% are obtained using texture, color and their combination respectively. The work is helpful in the area of agriculture for early detection and prevention of diseases.
목차
Abstract
1. Introduction
2. Literature Survey
3. Methodology
3.1 Image Acquisition
3.2 Preprocessing
3.3 Feature Extraction
3.4 Classification:
4. Results and Discussion
5. Conclusion
References
1. Introduction
2. Literature Survey
3. Methodology
3.1 Image Acquisition
3.2 Preprocessing
3.3 Feature Extraction
3.4 Classification:
4. Results and Discussion
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보