Application of Smart Image Processing Technology in Feature Extraction of Glass Artistic Style Patterns

With the emerging development of the digital signal processing technology, the image information can be analyzed from different perspectives. Hence, this paper studies the application of smart image processing technology in feature extraction of glass artistic style patterns. Information entropy reflects the amount of information contained in the image. The larger the information entropy, the more information the image contains. Therefore, the vector transform model is considered for the image feature analysis and adjustment work. The glass style is considered as the pattern to further analyze the image feature. The model is tested on Matlab and compared with the other latest models. The results have reflected that the proposed model can extract the features effectively.