Analysis of color image features extraction using texture methods
Autor: | Aws Al-Qaisi, Ziad Alqadi, M. S. Al-Tarawneh, Ahmad A. Sharadqah |
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Rok vydání: | 2019 |
Předmět: |
0209 industrial biotechnology
Small data Color image business.industry Computer science center-symmetric LBP ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Texture (music) Data type reduced LBP 020901 industrial engineering & automation Discrete wave equation 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing local binary pattern LBP Artificial intelligence Key size Electrical and Electronic Engineering Focus (optics) business Representation (mathematics) |
Popis: | A digital color images are the most important types of data currently being traded; they are used in many vital and important applications. Hence, the need for a small data representation of the image is an important issue. This paper will focus on analyzing different methods used to extract texture features for a color image. These features can be used as a primary key to identify and recognize the image. The proposed discrete wave equation DWE method of generating color image key will be presented, implemented and tested. This method showed that the percentage of reduction in the key size is 85% compared with other methods. |
Databáze: | OpenAIRE |
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