Abstract
Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform. Firstly, it represents the color consistency vector of clothing image, reflects the composition and distribution of image color through color histogram, quantifies the visual features of clothing image, aggregates them into a fixed size representation vector, and uses the Fair Value (FV) model to complete the collection of clothing image data. Then, the size of the clothing image is adjusted by using the size transformation technology, and the clothing pattern is divided into four moments with the same size. On this basis, the clothing image is discretized with the help of Hu invariant moment to complete the preprocessing of clothing image data. Finally, the generating function of wavelet transform is determined, and a cluster of functions is obtained through translation and expansion. The wavelet filter is decomposed into basic modules, and then, the wavelet transform is studied step by step. The clothing image data are regarded as a signal, split, predicted, and updated and input into the wavelet model, and the retrieval research of clothing image database is completed. The experimental results show that the design of the retrieval algorithm is reasonable, the retrieval data accuracy is high, and the retrieval speed is fast.
Highlights
With the rapid development of the Internet and the popularization of various digital devices, the number of multimedia information in modern society is growing rapidly, which promotes the further prosperity of multimedia information management research
Step 3: progressing forward in Section 2, in the design of clothing image database retrieval algorithm based on wavelet transform, the generating function of wavelet transform is determined, and a cluster of functions is obtained through translation and expansion. e wavelet filter is decomposed into basic modules, and the wavelet transform is studied step by step. e clothing image data are regarded as a signal, split, predicted, and updated and input into the wavelet model
In the design of clothing image database retrieval algorithm based on wavelet transform, the generating function of wavelet transform is determined, and a cluster function is obtained through translation and expansion. e wavelet filter is decomposed into basic modules, and the wavelet transform is studied step by step. e clothing image data are regarded as a signal, split, predicted, and updated division forecast to update
Summary
With the rapid development of the Internet and the popularization of various digital devices, the number of multimedia information in modern society is growing rapidly, which promotes the further prosperity of multimedia information management research. Image is the main medium for people to communicate with each other and understand the world It is the most intuitive form of important information expression and the most difficult information content to obtain, transmit, process, realize, and store [1]. In order to improve the retrieval efficiency of clothing pattern database, a new clothing image database retrieval algorithm based on wavelet transform is designed in this paper. By collecting and preprocessing the data in the existing clothing pattern database, the wavelet transform method is introduced to design the retrieval scheme of the database and complete the retrieval of clothing image database.
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