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Nilanjan Dey
Techno India College of Technology
Computer Science & IT Electrical & Electronics Engineering

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Journal : International Journal of Electrical and Computer Engineering

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An Integrated Interactive Technique for Image Segmentation using Stack based Seeded Region Growing and Thresholding Sirshendu Hore; Souvik Chakraborty; Sankhadeep Chatterjee; Nilanjan Dey; Amira S. Ashour; Le Van Chung; Dac-Nhuong Le
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.449 KB) | DOI: 10.11591/ijece.v6i6.pp2773-2780

Abstract

Image segmentation is a challenging process in numerous applications. Region growing is one of the segmentation techniques as a basis for the Seeded Region Growing method. A novel real time integrated method was developed in the current work to locate the segmented region of interest of an image based on the Region Growing segmentation method along with the thresholding supported image segmentation. Through the proposed work, a homogeneity based on pixel intensity was suggested as well as the threshold value can be decided via a variety of schemes such as manual selection, Iterative method, Otsu’s method, local thresholding to obtain the best possible threshold. The experimental results were performed on different images obtained from an Alpert dataset. A comparative study was arried out with the human segmented image, threshold based region growing, and the proposed integrated method. The results established that the proposed integrated method outperformed the region growing method in terms of the recall and F-score. Although, it had comparable recall values with that gained by the human segmented images. It was noted that as the image under test had a dark background with the brighter object, thus the proposed method provided the superior recall value compared to the other methods.
Co-Authors Amira S. Ashour Dac-Nhuong Le Le Van Chung Sankhadeep Chatterjee Sirshendu Hore Souvik Chakraborty