Multiple object image segmentation algorithm based on wavelet theory

Wang, W.; Wang, Z.

doi:10.1117/12.827433

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2011

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“…With the fast development of image interactive segmentation, it becomes the new hot spot in the field of Image Segmentation. Comparing with traditional manual segmentation and automatic segmentation, interactive segmentation algorithm has the advantage of unparalleled because of its higher segmentation precision and repeatability [1][2][3]. Graph-Cut is a method of graph segmentation, and sort of interactive segmentations are based on it.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Improvement of Graph-Cut Image Segmentation by Using Watershed

Rong

Pan

2011

AMR

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Traditional Graph-Cut algorithm traverses all pixels at each time of computation; consequently, it consumes a lot of time. This paper improves on Graph-Cut algorithm based on characteristics of Watershed. The basic theory is to insert watershed into Graph-Cut to conduct pre-segmentation on image. With watershed, image is divided into regions which have different sizes and pixel color similarities. Images processed by watershed algorithm are converted into weighted undirected graph; and then translate energy function on pixel into that graph on separate regions after pre-segmentation. Performance of test programs has proved that the improved Graph-Cut algorithm can increase workload of user interaction mark effectively. As long as workload considered in the interaction process, improved Graph-Cut algorithm can achieve ideal segmentation effect even on complex background.

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Section: Introductionmentioning

confidence: 99%