Texture Image Recognition Algorithm Based on Steerable Pyramid Transform

Li Min Guo; Jian Lin Hu

doi:10.4028/www.scientific.net/AMR.562-564.2178

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Texture Image Recognition Algorithm Based on...

Texture Image Recognition Algorithm Based on Steerable Pyramid Transform

Abstract:

at present, texture image recognition mostly is identified by using an intelligent algorithm which is based on the feature extraction method in a variety of ways, such as neural network recognization that is based on the wavelet transform or wavelet packet. Steerable pyramid transform is a multidirectional and multi-scale image representation. In this paper, texture recognition algorithm is based on steerable pyramid transform. This method extracts image features which are identified by support vector machine under different methods and resolution, and improves the accuracy of image recognition. Compared with the existing wavelet transform, wavelet packet, ridgelet in the case of noise, the methods' rate of correct identification is superior to other algorithms.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

2178-2182

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.2178

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Online since:

August 2012

Authors:

Li Min Guo, Jian Lin Hu

Keywords:

Multi-Resolution Processing, Steerable Pyramid Transform, Support Vector Machine (SVM), Texture Imagerecognition

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