A Distributed Image Feature Extraction Algorithm Suitable for Collaborative Learning

An image feature extraction and distributed technology, applied in image enhancement, image data processing, computing, etc., can solve problems such as no retrieval scheme proposed, no in-depth research, and cumbersome construction of scale invariance
CN102298701AInactive Publication Date: 2011-12-28็Ž‹ๆ™“ๅŽ
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
็Ž‹ๆ™“ๅŽ
Publication Date
2011-12-28
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses a distributed image feature extraction algorithm suitable for collaborative learning. The algorithm is based on Radon transform and singular value decomposition. According to the geometric characteristics of Radon transform, a new invariant texture feature extraction based on Radon transform and wavelet transform is constructed. method, first extract the edge contour of the original image according to the principle of wavelet modulus maxima, construct the central moment of Radon transform for the edge image, obtain translation invariance, and then construct the scale invariant moment according to the statistical characteristics of Radon transform on the basis of the central moment , and finally, find the descending singular value vector of the even moment of the scale invariant moment, the singular value eigenvector has translation, scale and rotation invariance. The invention enhances the anti-noise ability while maintaining translation, rotation and scale invariance; and overcomes the influence of noise on image shape.
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Description

technical field

[0001] The invention relates to an image feature extraction algorithm, in particular to a distributed image feature extraction algorithm suitable for collaborative learning. Background technique

[0002] Modern distance education is based on the Internet and terminals to realize teaching activities. The real-time remote virtual environment in teaching mainly includes distance classroom teaching, tutoring and answering questions, group study and discussion, etc. It is necessary to realize barrier-free and smooth teaching between teachers and students in the form of interaction and learning, and collaborative learning is an important way to improve the effectiveness of distance learning. However, the main factor restricting the development and application of collaborative learning is that the supporting collaborative learning system (CSCL) has not yet studied in depth the key technologies such as collaborative learning model, collaborative learning perception, ...

Claims

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