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Heterogeneous image block matching method based on image conversion

An image conversion and heterogeneous image technology, applied in the field of image processing, can solve problems such as poor network matching accuracy and generalization, inability to extract targeted features from different images, and loss of spatial information of features, so as to overcome the inconsistency of feature calculation distance Accurate, overcome low matching accuracy and poor robustness, improve accuracy and robustness

Active Publication Date: 2018-09-21
XIDIAN UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to provide a heterogeneous image block matching method based on image conversion, which solves the problem that existing matching methods cannot perform targeted feature extraction on different images when matching heterogeneous images, and the extracted image block information is The feature vector, the spatial information of the feature is lost, the defect of network matching accuracy and poor generalization

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  • Heterogeneous image block matching method based on image conversion
  • Heterogeneous image block matching method based on image conversion
  • Heterogeneous image block matching method based on image conversion

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[0046] The present invention will be further described below in conjunction with the accompanying drawings.

[0047] Such as figure 1 As shown, the heterogeneous image block matching method based on image conversion provided by the present invention comprises the following steps:

[0048] Step 1, get training samples and test samples:

[0049] (1a) Read in the registered heterogeneous images, which include SAR images and optical images;

[0050] (1b) Use the Harris method to detect the corners of the optical image, and use the coordinates of the detected corner A as the center point, and use a fixed value w as the side length to cut blocks on the optical image to obtain optical image blocks. In the example, the value of w is 32;

[0051] (1c) Take the feature point B corresponding to the corner point coordinates on the SAR image, and at the same time, randomly select a feature point C on the SAR image, and then use the coordinates of feature point B and feature point C on t...

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Abstract

An image conversion-based heterogeneous image block matching method provided by the invention has the following steps: acquiring training samples and test samples, constructing an image conversion network, training the image conversion network, constructing a feature extraction and matching network, training the feature extraction and matching network, predicting a matching result. The invention overcomes the problem that the feature difference of the heterogeneous image extraction is large and inaccurate in the prior art, effectively reduces the matching difficulty, and improves the accuracyand robustness of the heterogeneous image block matching.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to a heterogeneous image block matching method based on image conversion in the image matching method. Background technique [0002] Image registration technology has been proven to be applicable to many practical applications, and its related fields include remote sensing image analysis, image fusion, medical image processing, 3D reconstruction, pattern recognition, etc. As a key technology in the process of image registration based on deep neural network, image patch matching method has very important research significance and value. [0003] The widely used image block matching methods are mainly divided into two types, one is a method based on traditional manual feature extraction, and the other is a method based on neural network feature extraction. Among them, the method based on manual feature extraction is to extract the local salient features of the image by...

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Application Information

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IPC IPC(8): G06T7/33G06T3/00
CPCG06T7/33G06T2207/20164G06T2207/10044G06T2207/10052G06T2207/20021G06T2207/20084G06T2207/20081G06T3/14
Inventor 王爽焦李成王若静权豆方帅梁雪峰郭雨薇刘飞航
Owner XIDIAN UNIV
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