Nilima Kulkarni

Color Thresholding Method for Image Segmentation of Natural Images

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Author(s)

Nilima Kulkarni ^1,*

1. New Horizon College of Engineering, Bangalore, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2012.01.04

Received: 2 Nov. 2011 / Revised: 24 Nov. 2011 / Accepted: 30 Dec. 2011 / Published: 8 Feb. 2012

Index Terms

Color image segmentation, Color thresholding, Multilevel thresholding, Natural images, RGB color information.

Abstract

Most of the thresholding procedures involved setting of boundaries based on grey values or intensities of image pixels. In this paper, the thresholding is to be done based on color values in natural images. The color thresholding technique is being carried out based on the adaptation and slight modification of the grey level thresholding algorithm. Multilevel thresholding has been conducted to the RGB color information of the object extract it from the background and other objects. Different natural images have been used in the study of color information. The results showed that by using the selected threshold values, the image segmentation technique has been able to separate the object from the background.

Cite This Paper

Nilima Kulkarni,"Color Thresholding Method for Image Segmentation of Natural Images", IJIGSP, vol.4, no.1, pp.28-34, 2012. DOI: 10.5815/ijigsp.2012.01.04

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International Journal of Image, Graphics and Signal Processing (IJIGSP)