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Image Feature Extraction of Source code
no vote
The compressed package provides four kinds of image feature extraction methods: SIFT feature, color feature, texture feature and shape feature. With detailed documentation (m file function). Finally, I give the PPT, synchronization with the code, the principle of feature extraction, steps to do a detailed explanation, and give examples to help beginners understand.
德芙。
2020-01-15
0
1
Improved semi supervised algorithm ITRI training
no vote
This paper presents a semi supervised algorithm ITRI training, which is improved on the classic collaborative algorithm tri training. Three base classifiers are BP neural network
德芙。
2016-11-08
0
1
SIFT the image, color, shape and texture features
4.0
Code implemented in matlab2012a platform, which contains the color, texture, shape feature extraction and SIFT features extracted source code, with test images and instructions for use. Color feature extraction method: histogram, color polymeric vectors Shape feature extraction method: invariant moments Texture feature extraction method: gray level co-occurrence matrix SIFT: test images, running code, executable programs
德芙。
2016-08-23
11
1
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