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Image registration method based on parallel line matching

A technology of image registration and parallel line method, which is applied in the field of image recognition, can solve the problems of low accuracy rate, slow image matching speed, complex target detection, etc., and achieve the effect of improving speed and accuracy

Inactive Publication Date: 2015-04-29
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

However, in the process of moving target detection, these global motions will bring various negative effects, making target detection more complicated, image matching speed is slow, and accuracy rate is reduced

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  • Image registration method based on parallel line matching
  • Image registration method based on parallel line matching
  • Image registration method based on parallel line matching

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[0054] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0055] Such as figure 1 As shown, an embodiment of the present invention is an image registration method based on parallel line matching, the method comprising:

[0056] Step 101: Using an optimized scale-invariant feature transformation algorithm to obtain image feature points of two adjacent frames.

[0057] Step 102: Using the parallel line method to match the feature points in two adjacent frames of images to remove feature point matching errors.

[0058] Step 103: Calculate the relative movement of the matched feature points to obtain global motion parameters.

[0059] The image registration method based on parallel line matching in the embodiment of the present invention uses the optimized scale-invariant feature conversion algorithm to obtain the ...

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Abstract

The invention provides an image registration method based on parallel line matching. The method comprises the steps that feature points of two adjacent frames of images are obtained with an optimization dimension invariant feature transformation algorithm; the feature points in the two adjacent frames of images are matched with a parallel line method, and feature point matching errors are eliminated; the relative movement of the matched feature points is calculated, and a global movement parameter is obtained. According to the image registration method based on parallel line matching, the feature points of the two adjacent frames of images are obtained with the optimization dimension invariant feature transformation algorithm, and the speed of recognizing a target image is increased; the feature points in the two adjacent frames of images are matched with the parallel line method, the feature point matching errors are eliminated, and thus the accuracy of recognition of the target image is improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to an image registration method based on parallel line matching. Background technique [0002] In recent years, with the development of computer technology, image analysis has been limited to the processing and analysis of static images in the early days to the analysis of dynamic images today. This field is attracting more and more interest. In fact, dynamic scenes are more common in the objective world, and image sequences can provide us with richer information. Therefore, in actual moving object detection, it is often faced with a dynamic scene where the camera is also moving, thus forming a dynamic video sequence. [0003] The global motion generated by the camera motion will expand the amount of information in the video stream, giving people a pleasant visual experience. However, in the process of moving target detection, these global motions will bring various nega...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T3/14
Inventor 李香祯谢晓丹张挺冯雪杨舒宋志蛟
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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