What is it about?

Recognition of the Salivary glands in nuclear medicine examination is very difficult because of unclear borders and existence of noise, which affects the spatial resolution and reduces the diagnostic values of those images Therefore, image processing programs such as MatLab, has powerful tools, which can use for solving those problems. The Morphology tool frequently applied to this problem. In this paper, I used entropyfilt function to create a texture image.

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Why is it important?

The segmented images compare the binary image rough Mask to the original image. The proposed method in this paper enables to recognize the salivary glands accurately.

Perspectives

I hope this article makes what people might think is a boring, slightly abstract area like nuclear medicine and image processing as kind of interesting and maybe even exciting. Recognition of the Salivary glands in nuclear medicine examination is very difficult because of unclear borders and existence of noise, which affects the spatial resolution and reduces the diagnostic values of those images Therefore, image processing programs such as MatLab, has powerful tools, which can use for solving those problems.

Prof. Dr. Yousif Mohamed Yousif Abdallah
Majmaah University

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This page is a summary of: Segmentation of Salivary Glands in Nuclear Medicine Images Using Edge Detection Tools, Journal of Biomedical Engineering and Medical Imaging, April 2016, Scholar Publishing,
DOI: 10.14738/jbemi.32.1702.
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