Intelligent sports feature recognition system based on texture feature extraction and SVM parameter selection
| Autor: | Jinhai Sun, Lei Wang, Tuojian Li |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Computer science business.industry Extraction (chemistry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Feature recognition Pattern recognition 02 engineering and technology 030204 cardiovascular system & hematology Support vector machine 03 medical and health sciences 0302 clinical medicine Artificial Intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Texture feature business Selection (genetic algorithm) |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 39:4847-4858 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-179970 |
| Popis: | Feature extraction is the basis of texture analysis. How to obtain texture features with small feature dimension, simple calculation and comprehensive representation of images is a hot spot and a difficult point in feature extraction. The traditional image texture feature extraction method is to process the image in the spatial domain. However, due to its high computational complexity, its practical application is restricted. Based on this, this study studies the extraction method of texture features, and deeply analyzes the principle of non-subsampled Contourlet transform. Moreover, this study uses NSCT to transform the image from the spatial domain to the frequency domain and extracts the texture features of the decomposed low frequency sub-band, intermediate frequency sub-band and high frequency sub-band image respectively. In addition, this study selects the appropriate parameters to establish the support vector machine model and applies the extracted texture features into the support vector machine for recognition and applies it to the sports feature recognition. Finally, this study designed a controlled experiment to analyze the performance of the algorithm. The results show that the proposed method has certain effects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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