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A Method of Image Recognition Based on Feature Reduction

An image recognition and protocol technology, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as not reflecting the distribution of feature points, and achieve the effects of easy implementation, improved compactness, and low computational cost

Active Publication Date: 2018-10-12
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0006] Although various methods have different advantages, the problem with the above methods is that they do not reflect the geometric distribution of feature points in the image.

Method used

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  • A Method of Image Recognition Based on Feature Reduction
  • A Method of Image Recognition Based on Feature Reduction
  • A Method of Image Recognition Based on Feature Reduction

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Embodiment Construction

[0033] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0034] Such as figure 1 Shown, the concrete realization steps of the present invention are as follows:

[0035] (1) According to the grid method, the original image is initially divided into m feature block areas of 5×5, and the average feature point density of the m feature block areas is counted, which is denoted as

[0036]

[0037] Among them, n i is the number of feature points in the i-th feature block area. Starting from the upper left corner of the image, search from left to right and from top to bottom, for the number of feature points less than The feature block area of ​​, merge it with the adjacent feature block area in order from right to bottom, until the merged feature block area is equal to or greater than Then jump to the next unsearched feature block area and perform the same operation until all feature block areas have co...

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Abstract

The present invention relates to an image recognition method based on feature reduction: aiming at the problems of feature redundancy and large storage space occupied in the image feature description based on local feature descriptors, the idea of ​​feature reduction is adopted, and the image is firstly divided into features, block reduction and merging, and then perform clustering reduction to form the feature representation of the image, so as to use the classifier for classification learning and recognition. , image matching and other problems.

Description

technical field [0001] The invention relates to an image recognition method based on feature specification, which is used in the fields of video monitoring, image retrieval and the like. Background technique [0002] Image recognition is a typical application in computer vision. With the development of computer vision technology, more and more applications want to perform image recognition with limited resources. Since the features are becoming more and more complex, it is very important to perform the necessary specification on the features. [0003] There are generally two main methods for feature reduction, one is to reduce the dimensionality of the feature itself, and the other is to eliminate redundancy for multiple composite feature descriptions. Through the feature specification, the feature description of the image is more compact, which is convenient for storage and accelerated analysis. [0004] In terms of feature dimension reduction, it mainly includes linear d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06F18/2321G06F18/2411
Inventor 张弘辛淼袁丁
Owner BEIHANG UNIV
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