Automatic comparison and identification method for explosive circuit board debris image

A recognition method and automatic comparison technology, which are used in image enhancement, image analysis, image data processing, etc.

Active Publication Date: 2017-05-31
BEIJING UNIV OF POSTS & TELECOMM +1
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

However, the above algorithm is applicable to relatively simple scenarios and is only suitable for image recognition between different types of object...

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  • Automatic comparison and identification method for explosive circuit board debris image
  • Automatic comparison and identification method for explosive circuit board debris image
  • Automatic comparison and identification method for explosive circuit board debris image

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Embodiment Construction

[0039] The present invention will be described in detail below in conjunction with the accompanying drawings as embodiments.

[0040] The invention provides a method for automatic comparison and recognition of images of explosive circuit board fragments, such as figure 1 As shown, the identification method is divided into two stages, which are respectively the stage of building a retrieval library and the stage of comparison and recognition. Specifically, it is realized through the following steps:

[0041] The first step is to build a search library.

[0042] Step 1.1: Carry out object segmentation on the original circuit board image;

[0043] Step 1.2: Feature extraction, that is, extracting SIFT feature points and their descriptions; then use the object segmentation results to filter out useless feature points, that is, feature point filtering;

[0044] The SIFT feature proposed by Lowe (reference [4]) is widely used because of its superior performance in image local feat...

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Abstract

The invention discloses an automatic comparison and identification method for an explosive circuit board debris image, and belongs to the technical field of pattern recognition and image processing. The method comprises the following steps that: firstly, carrying out object segmentation on the debris image on the basis of an image segmentation algorithm of a probability graph model, then, adopting a color model based on probability sampling to carry out the object fine positioning of a component, extracting and filtering feature points, comparing and identifying the filtered feature points with circuit board feature points in a retrieval library, and determining a source circuit board to which a debris belongs. The invention puts forward and realizes a method for automatically identifying the primitive plate which has the same type with a printed circuit board according to the explosive circuit board debris image. By use of the comparison and identification method, the component and a character area in the circuit board can be accurately segmented, noise interference can be inhibited, and similarity between feature point description and a space geometry relationship is considered while comparison is carried out. By use of the method, TOP1 accuracy in the automatic identification of the circuit board debris image is higher than 99%.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and image processing, and specifically refers to an automatic comparison and recognition method for images of explosive circuit board fragments. Background technique [0002] The core component of the remote control / timing intelligent explosive device-the electronic circuit board is identified and compared after the explosion and further traced to the source, which is of great significance to the detection of off-site intelligent start-up explosion cases. At present, the screening and identification of electronic circuit boards is done manually by professionals, which requires skilled professional knowledge and a lot of energy; if image mode technology can be used for automatic identification of exploded circuit board fragments, it will save a lot of investigation work for relevant experts , Improve the possibility of case detection. At present, there are few research results publishe...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/194
CPCG06T7/0004G06T2207/30141
Inventor 李想赵衍运樊武龙张冀峰赵志诚庄伯金苏菲
Owner BEIJING UNIV OF POSTS & TELECOMM
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