Title :
Texture Recognition rate analysis using fusion of Gabor energy features and Simple cell features
Author :
Bhautmage, Prayanti P. ; Hemane, Priya M.
Author_Institution :
Electron. & Telecommun. Dept., Coll. of Eng. Pune, Pune, India
Abstract :
In this paper, efforts are made to put forward a new method for Texture Recognition rate analysis using fusion of features obtained from Gabor energy features and Simple cell Response features. Different measures False positive Rate, False Negative rate and Acceptance rate are calculated for one image against database having different number of images. Experiments are carried out on Gabor Filter banks designed with different frequency ranges and comparative study is explained in detail. The best suitable range for fusion method is interpreted from result. Variation of recognition rate for different frequency ranges is also studied for both features.
Keywords :
Gabor filters; channel bank filters; image recognition; image texture; sensor fusion; Gabor energy features; Gabor filter banks; acceptance rate; false negative rate; false positive rate; features fusion; simple cell response features; texture recognition rate analysis; Databases; Feature extraction; Filter banks; Gabor filters; Maximum likelihood detection; Nonlinear filters; Vectors; Acceptance Rate; Bordatz database; False Negative Rate; False Positive Rate; Gabor Energy Features; Simple Cell Response;
Conference_Titel :
Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on
Conference_Location :
Unnao
DOI :
10.1109/ICAETR.2014.7012945
