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Seminar: Gabor Feature Space in Image Processing

Wed., Mar. 16, 2016 1:30 p.m.

Location: CL 431

Title: Gabor Feature Space in Image Processing

Speaker: Bingyang Liu

Date: March 16 (W)

Time: 1:30pm - 2:20pm

Room: CL 431

Abstract: In image processing, Gabor filters are used for feature extraction, especially for extracting local properties in both spatial and frequency domains. Gabor feature space has been successful used in many applications, for example, representation, processing and segmentation of texture images. The essential of Gabor transform is a special case of short-time Fourier transform. Multiplied by a Gaussian envelop, it can determine the sinusoidal frequency and phase angle for Gabor filters. Based on Gabor feature space, many high level tasks can be performed more efficiently. In this presentation, an overview of the principle of Gabor filter is first given, followed by selected advanced techniques developed recently.