Morphologic filter automatic destination detecting method

A morphological filter and target detection technology, which is applied in the field of target detection, can solve the problems of long convergence time of genetic algorithm, low optimization efficiency, and low optimal filter performance, so as to improve search, early warning and tracking performance, and improve military Equipping power and improving timeliness effect

A morphological filter and target detection technology, which is applied in the field of target detection, can solve the problems of long convergence time of genetic algorithm, low optimization efficiency, and low optimal filter performance, so as to improve search, early warning and tracking performance, and improve military Equipping power and improving timeliness effect

CN1604140AInactive Publication Date: 2005-04-06SHANGHAI JIAO TONG UNIV
0 Cites 11 Cited by

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Morphologic filter automatic destination detecting method
  • Morphologic filter automatic destination detecting method
  • Morphologic filter automatic destination detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0029] The present invention is based on the morphological filter of the genetic algorithm optimization training to detect the principle block diagram of the weak and small infrared point target. figure 1 As shown, the filtering process is mainly divided into two parts: morphological filtering and threshold segmentation. Among them, morphological filtering is the focus of target detection, and morphological filtering can be decomposed into two basic problems of morphological operation and structural elements. When the morphological operation rules are determined, the final filtering performance of the morphological filter only depends on the selection of structural elements. The invention utilizes a series of sample data obtained in advance to train the filter...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

It is morphology filter automatic object detection method, which comprises the following steps: first to collect training samples to form heredity arithmetic for optimization train, wherein, the arithmetic adopts new range discretization code and self-adapting major / minor cross and dissociation operator; to use collected sample to train the structure element value by heredity arithmetic to form morphology filter based on Top-Hat operator; to filter the infrared object image; finally to do the division based on self=adapting threshold to detected multiple weak spots; to detect the object spots with high signal to noise rate by use of fixed threshold division.

Description

technical field [0001] The invention relates to a target detection method used in the technical field of image processing, in particular to a morphological filter automatic target detection method. Background technique [0002] In recent years, with the development of research on morphology, morphological image processing, a special subject of image processing, has gradually developed into a major research field of image processing, and has gradually become a useful tool for weak and small target detection and recognition. Morphological filters can be decomposed into two basic problems of morphological operations and structural elements. Erosion, dilation, opening and closing operators are the four basic operators of morphological operations. Combining these four basic operators can result in morphological operators with different characteristics. When the morphological operation rules are determined, the final filtering performance of the morphological filter only depends ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
06 Apr 2005
Publication
CN1604140A
IPC
G06T7/00
Inventors
ζŽε»Ίε‹‹; ζ›Ύζ˜Ž