Application of Bi-Dimensional Gabor Wavelet Algorithms for Image Processing
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- Year:
- 2014
- Type of Publication:
- Article
- Keywords:
- Gabor Wavelet, Filter, Image, Bi-Dimensional, Feature Extraction
- Authors:
- A. O. Ajao; K. O. Kadiri
- Journal:
- IJISM
- Volume:
- 2
- Number:
- 1
- Pages:
- 38-42
- Month:
- January
- Abstract:
- In bi-dimensional object concepts, the implementation of an image segmentation and feature extraction is typically applied over many pattern recognition, retrieval, or computer vision applications and tousled with several parameters of concerns, resulting in a model that is hard to explore and understand. This paper presents a collection of MATLAB source code based on Gabor wavelet algorithms and filter parameters used in image processing techniques. The algorithms are experimentally applied to image to understand the strengths of Gabor wavelet. Different feature extraction parameters are used for different representations of the filters and filtered images in the algorithms. Experimental results demonstrate the effectiveness and efficiency of the image localization scheme inherent in the Gabor wavelet technique.
Full text: IJISM_35_Final.pdf [Bibtex]