Computation of Gabor Features – Mean Squared Energy, Mean Amplitude. In applications of computer vision and image analysis, Gabor ﬁlters have maintained their popularity in feature extraction for almost three decades. The original reason that draw attention was the similarity between Gabor ﬁlters and the receptive ﬁeld of simple cells in the visual cortex. A more practical reason is their success in many applications, e.g., face detection and recognition, iris recognition and ﬁngerprint matching, where Gabor feature based methods are among the top performers. The derivation of Gabor features is elegant through the fundamental domains of signal processing: space (time) and frequency. Topped with many practical and computational advantages. To know more about Gabor Features, I would suggest reading Kamarainen, Joni-Kristian. “Gabor features in image analysis.” Image Processing Theory, Tools and Applications (IPTA), 2012 3rd International Conference on. IEEE, 2012. [HERE]
Download MatLab Code : http://www.mathworks.com/matlabcentral/fileexchange/38844-gabor-image-features:
Kamarainen, Joni-Kristian. “Gabor features in image analysis.” Image Processing
Theory, Tools and Applications (IPTA), 2012 3rd International Conference on. IEEE, 2012. [HERE]
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