A weak texture image registration method based on a spatial time sequence model

A time series model and image registration technology, which is applied in image analysis, image data processing, character and pattern recognition, etc., can solve problems such as weak, difficult to detect edges, and unrealizable registration, so as to improve robustness, Avoid scratches and achieve the effect of automatic registration

Pending Publication Date: 2019-05-21
NANJING INST OF TECH
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Problems solved by technology

However, the processing "traces" contained in the part image are usually relatively weak, and the gray level of the image is not much different. Even if preprocessing methods such as image enhancement are used, the edge

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  • A weak texture image registration method based on a spatial time sequence model
  • A weak texture image registration method based on a spatial time sequence model
  • A weak texture image registration method based on a spatial time sequence model

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[0039] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Of course, the described embodiments are only some embodiments of the present invention, not all of them.

[0040] refer to figure 1 , figure 1 It is the prediction window of the space time series model of the present invention, among the figure: 1, the gray-scale image of reference (or to be predicted), size is m * n pixel; 2, the pixel point to be predicted; 3, known (or called for historical) pixels.

[0041] combine figure 2 with image 3 , a kind of weak texture image registration method based on the spatial time series model proposed by the present invention, the following steps:

[0042] (1) Obtain the reference image and the image to be registered

[0043] A weakly textured image without significant point or line features is obtained as a reference image, and another w

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Abstract

The invention provides a weak texture image registration method based on a spatial time sequence model. The weak texture image registration method comprises the following steps: obtaining a referenceimage and an image to be registered; Detecting feature points of the reference image and the to-be-registered image by using a spatial time sequence model method; Determining the directions of the feature points, and constructing a composite feature point descriptor containing gradient direction information; Carrying out feature point matching on the reference image and the to-be-registered imagethrough feature searching; Removing wrong matching pairs to obtain an optimal matching point pair and a transformation model; And transforming the to-be-registered image according to the transformation model to obtain a registration result. Compared with a region, the method has the advantages that image features are used for replacing direct gray scale operation, and the feature method is high inefficiency and accurate; Compared with a feature method, the dependency degree of the algorithm on the significant features is reduced, manual adding of auxiliary features is not needed, part scratching is avoided, the robustness of the algorithm is improved, and automatic registration can be achieved.

Description

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Application Information

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Owner NANJING INST OF TECH
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