Method for detecting consistency of different-source images

A heterogeneous image and feature detection technology, which is applied in image analysis, image data processing, instruments, etc., can solve the problem that there is no consistent feature detection method for heterogeneous images, and achieve the effect of high accuracy and speed

Active Publication Date: 2012-06-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

[0006] The purpose of the present invention is to propose a method for detecting consistency features of heterogeneous images, aiming at the problem that there is no effective method for detecting consistency features of heterogeneous images in the current technical field of image processing

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  • Method for detecting consistency of different-source images
  • Method for detecting consistency of different-source images

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Embodiment 1

[0057] In the present invention, heterogeneous images refer to two images to be matched. figure 1 It is a flowchart of the consistent feature detection method for heterogeneous images. figure 1 Among them, the consistent feature detection method of heterogeneous images provided by the present invention includes:

[0058] Step 1: Extract the contour image of the heterogeneous image using the 2D cellular automaton model based on the morphological gradient method.

[0059] When the heterogeneous image is a binary image, each pixel of the image is regarded as a cell, the state of the cell corresponds to the gray value of the pixel, and the neighborhood structure of the cell is von Neumann type, that is : It is composed of a central cell (the cell to be evolved) and 4 adjacent cells located in the upper, lower, left, and right directions, including 5 cells in total. In order to realize the task of contour extraction, the information related to the contour is detected from the ima...

Embodiment 2

[0128] figure 2 It is a schematic diagram of the experimental results of using the method provided by the invention to perform consistent feature detection on multi-spectral images in remote sensing images. Two remote sensing images with different spectra are processed by using the consistent feature detection method of heterogeneous images. The input images are as follows: figure 2 (a) and figure 2 As shown in (b), the size of the image is 256×256; first, the two-dimensional cellular automaton model based on the morphological gradient method is used to extract the contour of the input image, and the result is as follows figure 2 (c) and figure 2 (d) shown; and then respectively from figure 2 (c) and figure 2 (d) Obtain SURF feature points and descriptors; then use the matching strategy of Euclidean distance and nearest neighbor distance ratio to obtain initial matching point pairs from SURF feature points; finally use RANSAC algorithm to screen out exact matching p...

Embodiment 3

[0130] image 3 It is a schematic diagram of the experimental results of using the method provided by the invention to perform consistent feature detection on CT images and MRI images in medical images. CT images and MRI images are processed by the consistent feature detection method of heterogeneous images, and the input images are as follows: image 3 (a) and image 3 As shown in (b), the size of the image is 256×256; first, the two-dimensional cellular automaton model based on the morphological gradient method is used to extract the contour of the input image, and the result is as follows image 3 (c) and image 3 (d) shown; and then respectively from image 3 (c) and image 3 (d) Obtain SURF feature points and descriptors; then use the matching strategy of Euclidean distance and nearest neighbor distance ratio to obtain initial matching point pairs from SURF feature points; finally use RANSAC algorithm to screen out exact matching points from the initial matching point...

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Abstract

The invention discloses a method for detecting the consistency of different-source images, belonging to the technical field of computer image processing. The method comprises the following steps of: extracting contour images of the different-source images by adopting a two-dimensional cellular automaton model based on a morphological gradient method; acquiring characteristic points and descriptors of accelerating robust characteristics of the contour images; acquiring an initial matching dot pair set from the characteristic points of the accelerating robust characteristics; and screening out an accurately matched dot pair from the initial matching dot pair set. By using the method disclosed by the invention, the problem that the consistency cannot be directly detected from the different-source images by using a SURF algorithm is solved, and the detection speed and the accuracy rate are increased.

Description

technical field [0001] The invention belongs to the technical field of computer image processing, in particular to a method for detecting consistency features of heterogeneous images. Background technique [0002] Image feature detection is a key technology in the fields of image processing, pattern recognition, and computer vision. Its purpose is to extract pixels or pixel areas that can reflect the important and original attributes of the target image in certain areas of the image, and use them to change Subsequent processing such as detection or target recognition, it can transform the recognition problem between images into the recognition problem between features. [0003] For a long time, how to effectively detect the features of images has been concerned by many scholars. At present, image feature detection methods mainly include methods based on gradient information, methods based on phase information, and methods based on local invariant features. Among them, local...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 赵振兵陈智雄
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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