A SAR Image Segmentation Method Based on Adaptive Window Directional Wave Domain and Improved FCM

Abstract

The invention discloses an SAR image segmentation method based on a self-adaptive window directionlet domain and improved FCM. The problem that in an existing method, area segmentation is poor, and noise influence exists is mainly solved. The method comprises the steps that (1) each pixel of an SAR image is provided with a direction window, and histogram similarity measurement is carried out every two direction windows; (2) a threshold value T is set, when similarity is larger than T, two-layer Directionlet transformation is carried out on the 2n*2n windows with the pixels as centers, and when similarity is smaller than T, transformation is carried out on the n*n windows; (3) feature extraction is carried out on low-frequency coefficients and high-frequency coefficients after current block transformation, and the low-frequency coefficients and high-frequency coefficients are adopted as feature vectors of the pixels; (4), the step (1), the step (2) and the step (3) are circulated until whole image computation is completed; (5), the feature vectors are clustered through a fuzzy C-means algorithm with plesiomorphism distance improved; (6) corresponding gray level values are assigned to classified categories, and the final segmentation result is obtained. Richer textural features of the original image can be extracted, and correlation in data can be fully mined.

Description

technical field [0001] The invention belongs to the technical field of image processing, relates to a SAR image segmentation method, which can be used for target recognition of SAR images and subsequent computer processing, in particular to a SAR image segmentation method based on adaptive window direction wave domain and improved FCM. Background technique [0002] Image segmentation is an important image technology and a major problem in low-level vision in the field of computer vision. It is a key step from image processing to image analysis and occupies an important position in image engineering. Image segmentation is also the basis for further image understanding. Image segmentation has been widely used in practice, involving almost all fields of image processing and applied to various types of images. For example, in medical applications, brain magnetic resonance (MR) images are segmented into gray matter, white matter, brain tissue such as cerebrospinal cord and other...

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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the segmentation method existing in the existing method cannot fully consider the texture features and gray features of different regions in the SAR image, and has a severe impact on the coherent speckle noise, and proposes a method based on adaptive window direction wave (Directionlet) domain and improved FCM SAR image segmentation method to improve the image segmentation effect

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