Infared and visible light sequential image feature level fusing method based on target detection

A feature-level fusion and sequence image technology, applied in the field of image processing, can solve the problems of single fusion method, retaining target information, and large amount of calculation, and achieve the effects of high calculation efficiency, improved perception ability, and good target indication characteristics

Inactive Publication Date: 2007-03-21
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

This paper uses the discrete wavelet framework (DWF, or shift-invariant discrete wavelet transform) to fuse sequence images, but although the transform method they use has good shift invariance, the transform has a high degree of redundant information. Th

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  • Infared and visible light sequential image feature level fusing method based on target detection
  • Infared and visible light sequential image feature level fusing method based on target detection
  • Infared and visible light sequential image feature level fusing method based on target detection

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Embodiment Construction

[0042] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0043] 1. Image Segmentation

[0044] First, a region growing method is employed to segment the initial sequence of images. The basic idea of ​​region growing is to combine pixels with similar properties to form regions. The specific implementation is to find a seed pixel for each segmented area as the starting point of growth, and then combine the pixels with the same or similar properties as the seed pixel in the neighborhood around the seed pixel (judged according to a predetermined growth or similarity criterion) to the region where the seed pixel is located. U...

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Abstract

An infrared and visible light sequence image character level amalgamation method based object detecting belongs to image amalgamation technology field. It uses area growth method to divide up each frame fountain image and automatically get background area and object area according to effective detecting method and takes dual-tree complex wavelet transform method to the fountain image list. After the transform, apply different amalgamation rules for object and background area to realize the list image amalgamation with character level. After get the wavelet amalgamation coefficient of different area, use dual-tree complex wavelet inverse transform to get amalgamation list image. It uses different amalgamation rules to keep interesting goal information as more as possible. The amalgamation list image owns good inflexibility, stability of time and coherence, and high calculating efficiency for using the application with dual-tree complex wavelet transform.

Description

technical field [0001] The present invention relates to a method in the technical field of image processing, in particular to a feature-level fusion method of infrared and visible light sequence images based on target detection. Background technique [0002] In the past decade or so, information fusion, especially image fusion, has aroused widespread interest and research boom around the world, and its application fields cover national defense, earth observation, machine vision, intelligent transportation, medical imaging, security inspection and industrial process, etc. Image fusion is about the collaborative use of multiple imaging sensors to combine multi-source dynamic image information from the same scene to form a multi-level intelligent information processing process that is more suitable for human and machine perception, or a single image for further image analysis and understanding. A single image contains a more accurate description of the dynamic scene than any mu...

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Application Information

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IPC IPC(8): G06T5/50G06T5/00
Inventor 敬忠良刘从义杨波肖刚
Owner SHANGHAI JIAO TONG UNIV
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