Aerial image hybrid segmentation algorithm based on novel Markov random field and region merging

Abstract

The invention discloses an aerial image hybrid segmentation algorithm based on a novel Markov random field and region merging, and the algorithm comprises the following steps: S1, reading a to-be-segmented color image, and converting the to-be-segmented color image into a gray image; s2, performing coarse segmentation on the grayscale image; s3, performing multi-value connected domain informationstatistics; s4, according to the multi-value connected domain information, carrying out region smoothing on the grayscale image after coarse segmentation; and S5, according to the image after region smoothing, carrying out region merging. According to the invention, a novel Markov model with a variable unit of a regional level, regional edge information fused into a potential function and an iterative stop criterion is adopted to smooth a coarsely segmented image; the method can effectively improve the updating rate of the region label, adaptively controls the updating of the region label, andeffectively reduces the 'over-segmentation rate' and 'wrong segmentation rate' during the segmentation of an image with multi-spot noise, higher intra-domain heterogeneity and difficult gradient information extraction.

Description

technical field [0001] The invention relates to the technical field of image segmentation, in particular to an aerial image hybrid segmentation algorithm based on a novel Markov random field and region merging. Background technique [0002] Aerial images are widely used in traffic safety, environmental monitoring and many other fields because of their high definition and high current situation. Understanding and analyzing aerial images must be based on the target objects with structured information generated by image segmentation. Compared with images taken on the ground, aerial images are more speckle and noisy and difficult to extract complete edge information, which makes segmentation more difficult. In this regard, a hybrid method of initial segmentation and region merging has attracted the attention of scholars in the field of remote sensing and aerial images. The hybrid method can be simply described as: firstly, an initial segmentation region is generated by a speci...

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Problems solved by technology

[0007] Purpose of the invention: Aiming at the problems of high mis-segmentation rate of the initial segmentation algorithm in the current hybrid segmentation method, rough initial segmentation area and low extraction rate of target objects in the later area merging technology, the present invention proposes a new Markov random field and Aerial Image Hybrid Segmentation Algorithm Based on Region Merging

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