High performance visualization of human tumor detection using WTMM on Parallel Computing System

Sulaiman, Hanifah; Said, Norfarizan Mohd; Ibrahim, Arsmah; Alias, Norma

doi:10.1109/cspa.2013.6530042

Cited by 6 publications

(1 citation statement)

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“…proposed an algorithm based on wavelet transformation to segment and detect the breast X-ray image. To detect the cancer at an early stage, Hanifah Sulaiman [2] proposed an edge detection algorithm of tumor based on wavelet transform modulus maxima. Karunesh [3] etc.…”

Section: Introductionmentioning

confidence: 99%

Image Segmentation of Pig Using Wavelet Modulus and Edge Growth

Yang

Zhu

2014

AMM

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In order to segment the pig image accurately in the complex background, an image segmentation algorithm based on wavelet modulus maxima and edge growth is proposed. Firstly wavelet transformation to pig image was adopted to get local maximum value points in gray gradient, then local adaptive method was used to determine the segmentation threshold within local maximum points, and get the accurate edges. Secondly, the edge growth method based on gradient was used to link discontinuous edge points and complete the edges sealing repair. Finally, the mathematical morphology methods including connecting method and corrosion expansion operation were adopted to obtain the image area of a pig. The experimental results show that, in the complex background of piggery, the smooth and full pig image separated from background could be obtained by this algorithm. This method could improve the effectiveness of the image segmentation.

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Section: Introductionmentioning

confidence: 99%