Weak target detecting method based on generalized S-transform

A technology for weak targets and detection methods, which is applied in the field of image processing and can solve problems such as limitations

Inactive Publication Date: 2009-07-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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[0026] The S-transform window functions mentioned above are all Gaussian functions th

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  • Weak target detecting method based on generalized S-transform
  • Weak target detecting method based on generalized S-transform
  • Weak target detecting method based on generalized S-transform

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[0067] Example: Figure 4 (a) It is a small target image taken by CCD in daytime conditions. Due to the strong light, the CCD is close to saturation, which makes the contrast between the target and the background in the imaging extremely low; Figure 4 (b) An infrared image containing an airborne target acquired by the infrared detection system, and the target is blocked by clouds. The size of the image is 128×128 pixels, and the rectangular box in the figure indicates the position of the target.

[0068] Figure 5 is true Figure 5 (b) The results of its S-transform domain analysis along the row and column directions, where Figure 5 (a) The characteristic distribution map of the S-transform domain corresponding to the pixel grayscale data of the first row. It can be seen from the figure that in the slice corresponding to the first row, the energy of each frequency component is zero, which indicates that there is no target in the first row. Figure 5 (b) then image 3 T...

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Abstract

The invention relates to a weak object detection method on the basis of generalized S transformation, which pertains to the field of image processing, in particular to a weak object detection method by applying the two-dimensional generalized S transformation of an image. The method carries out two-dimensional generalized S transformation to the original image I (x', y') at first to obtain a generalized S transformation result S (x, y, kx, ky); then detection is carried out to a weak object in the image according to the generalized S transformation result S (x, y, kx, ky); by fixing the value of spatial frequency kx or ky, a four-dimensional S transformation result S (x, y, kx, ky) is reduced into three-dimensional data; and the combination of frequency component power of a vertical section image (y, ky) or (x, kx) corresponding to each value selected along x or y direction is compared with a threshold value so as to determine the positions of row and line of the weak object in the original image. The method carries out generalized S transformation to the original image; on basis of the generalized S transformation result, by dimension reduction and visualization processing, the information of the S transformation domain is utilized to detect the weak object, thus being capable of effectively overcoming the influences by obstruction factors such as noise, flooding wave, cloud, and the like, in the spatial domain.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a method for detecting weak targets using two-dimensional generalized S transformation of images. Background technique [0002] In the early warning system, it is often required that the detector can find, capture and track the target at the first time, and further identify and judge the parameters such as the type and speed of the target, so as to assist the early warning system to make decisions. At this time, due to the long working distance, the imaging area of ​​the target is very small, coupled with the interference of factors such as atmospheric scattering and system noise, the signal-to-noise ratio of the image obtained by the detector is extremely low, resulting in very weak target energy. Identification has important research significance. At present, weak target detection is mainly completed in the spatial domain of the image, and the main idea is to achiev...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 彭真明雍杨张杰甄莉
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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