SAR image segmentation system and segmentation method based on immune clone and projection pursuit

Abstract

The invention discloses an SAR image segmentation system and a segmentation method based on immune clone and projection pursuit. The system comprises an image characteristic-extracting module, an initial label-selecting submodule, a projection direction-selecting submodule and a subspace clustering submodule, wherein the image characteristic-extracting module extracts the gray co-occurrence matrixcharacteristics, the wavelet characteristics, the brushlet characteristics and the contourlet characteristics of an input image; the initial label-selecting submodule clusters the image characteristics to acquire and transmit an initial label to the projection direction-selecting submodule for calculating a linear judgment analysis projection index and acquiring an optimal projection direction; the subspace clustering submodule projects the image characteristics in the optimal projection direction, acquires and clusters an optimal subspace to acquire a clustering label, returns the clusteringlabel to the initial label-selecting submodule for iteration, acquires a final clustering label corresponding to image pixels and acquires a final image segmentation result. The invention has the advantage of high segmentation accuracy and can be applied to civil and industrial fields or as martial reconnaissance means.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to SAR image segmentation, and can be used in military reconnaissance means and civil and industrial fields. Background technique [0002] As an indispensable means of military reconnaissance, SAR also has a wide range of uses in civilian and industrial applications. With the increasing development of SAR imaging technology, more and more SAR image data are obtained, and machine interpretation has gradually replaced manual interpretation, so SAR image processing has become a research hotspot. SAR image segmentation is one of the basic problems of SAR image processing. In the research and application of SAR images, the target area of ​​interest can be found through image segmentation, thus laying the foundation for the later classification and recognition of SAR images, and target recognition The accuracy of α depends largely on the quality of image segmentation. In order to ide...

AI Technical Summary

Problems solved by technology

At present, the SAR image segmentation methods based on clustering algorithms mainly include K-means clustering algorithm and spectral clustering algorithm. Among them, the results of K-means clustering SAR image segmentation method are unstable and the segmentation accuracy is not high. SAR image segmentation based on spectral clustering The method cannot effectively deal with large-scale image segmentation problems

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