SKL algorithm based fabric image matching and retrieval
| Autor: | Rongqing Sun, Xueqin Zhang, Deping Dong, Yichen Cao, Guojian Ma |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Speedup Image matching Computer science business.industry Hash function ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer image Image processing 02 engineering and technology 020901 industrial engineering & automation Bag-of-words model in computer vision Histogram 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Algorithm Shape analysis (digital geometry) |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| Popis: | Intelligent computer image processing technology provides convenience and possibility for designers to carry out designs. Shape analysis can be achieved by extracting SURF feature. However, high dimension of SURF feature causes to lower matching speed. To solve this problem, this paper proposed a fast fabric image matching algorithm based on SURF K-means and LSH algorithm. By constructing the bag of visual words on K-Means algorithm, and forming feature histogram of each image, the dimension of SURF feature is reduced at the first step. Then with the help of LSH algorithm, the features are encoded and the dimension is further reduced. In addition, the indexes of each image and each class of image are created, and the number of matching images is decreased by LSH hash bucket. Experiments on fabric image database show that this algorithm can speed up the matching and retrieval process, the result can satisfy the requirement of dress designers with accuracy and speed. |
| Databáze: | OpenAIRE |
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