Image segmentation based on single seed region growing algorithm

المؤلفون المشاركون

Hadi, Jullanar M.
Salman, Nasir H.

المصدر

ZANCO Journal of Pure and Applied Sciences

الناشر

جامعة صلاح الدين قسم النشر العلمي

تاريخ النشر

2016-06-30

دولة النشر

العراق

عدد الصفحات

7

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص الإنجليزي

In this paper, image segmentation based on single seed region growing algorithm is proposed to implement image segmentation, region boundary detection, region extraction and region information tasks for gray scale images.

The proposed method is used to segment number of selected regions (N) in the original image, this started with choosing arbitrary seed point inside each selected region, set intensity value equal to 10% of the (Max-Min) intensity value of the original image.

Then region growing algorithm used to test the entire pixels neighbor to the seed point whether they satisfy the intensity range motioned above or not.

If they then associated in one region, otherwise it labeled as boundary pixels.

This approach has been tested on many medical images to achieve region segmentation with closed boundary, edge map, calculate the minimum, maximum and average intensity of each region, and finally calculate the number of all associated pixels of the segmented region.

Our proposed method minimize the computation time.

In addition to the precisely output of segmented and extracted regions, another benefit comes from easy implementation of this method.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-786722

• APA
• MLA
• AMA