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Texture Image Segmentation Based on threshold Techniques

Dodla. Likhith Reddy, Dr. D Prathyusha Reddi, , ,
Affiliations
Professor, Dept.of ECE, PBR VITS, KAVALI
:10.22362/ijcert/2017/v4/i3/xxxx [UNDER PROCESS]


Abstract
Image segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is used to give the values of objects and boundaries of a selected image like lines, curves. The image segmentation plays a critical role in a variety of pattern recognition applications such as robot vision, cartography, criminal investigation, remote sensing, object identification and recognition, military surveillance, quality assurance in industries, facial recognition and medical imaging, etc. The main aim of this paper is to propose methods are improving image segmentation and give the clear object about the image by using different techniques. This article presents a brief outline of some of the most commonly used segmentation techniques like Thresholding, Region based and Edge detection methods. The proposed methods implemented in MATLAB.


Citation
Dodla. Likhith Reddy et.al, “Texture Image Segmentation Based on threshold Techniques”, International Journal Of Computer Engineering In Research Trends, 4(3):69-75, March-2017.


Keywords : Segmentation, Edge Detection, Region Based, threshold-based segmentation techniques.

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