Thresholding Technique for Color Image Segmentation

Abstract

Image processing is a form of signal processing that manipulates an image by means of a processor. Computer vision is a high level image processing that includes methods for acquiring, processing, analyzing, understanding images and high dimensional data from the real world in order to produce numerical or symbolic information. Image segmentation is one of the basic problems of the image processing and computer vision. The image is divided into a number of sets that do not mutual overlapping zones. These zones either have meaning to explain correspondence between them and the actual object or some parts of object. One of the properties of an image is color. This proposed system works on a color image segmentation method based on color space Otsu Method. In an image, one needs to isolate the objects in it and have to find relation among them. The color supposed by human is a combination of three colors such as Red, Green and Blue forms a color space. In the color image segmentation color images applying through the recursive Otsu’s method to segment the small size object and to remove the large amount of noise. The resultant image is passing through median filter for the effective result. Still the selection of the threshold value is maximum and to minimize the selection time of the image, in the pre processing step the image passes through neural network, Fuzzy logic and Ant Colony Optimization (ACO) for optimizing the threshold values and processed through the Otsu thresholding method for the better segmentation.

Authors and Affiliations

G. Parthasarathy, Dr. D. Chitra

Keywords

Related Articles

Design and Implementation of Area Efficient BPSK and QPSK Modulators Based On FPGA

Digital communications devices designed on FPGAs are capable of affording multiple communications protocols without the need to arrange new hardware, and can support new protocols in a matter of seconds. In addition, FP...

Pseudo Code to Eliminate Unwanted Data Sets for Fuzzy Mining Association Rule

We all know that data mining association rule is very easy for small or medium data sets. If we apply fuzzy association rule then it will be a complex task for large data sets. we reduce the computational time or large...

An Application to Secure Android based Devices and Data

The main aim of the project is to improve the security of android based devices using technique like MMS instead of SMS. Nowadays the use of smartphones, tablets and phablet have increased tremendously and there have be...

Watermarking: Some Best Practices

To protects intellectual property rights, the amount of exchanged digital content calls are rapidly growing based on efficient and practical techniques. During the past two decades, watermarking techniques have been pre...

A Preview Paper on Hand Talk Glove

In general, people who can’t talk properly with others, who do not understand sign language. Even though those who do speak aloud properly have a “deaf voice” of which they are self-conscious and that can make them reti...

Download PDF file
  • EP ID EP20950
  • DOI -
  • Views 220
  • Downloads 5

How To Cite

G. Parthasarathy, Dr. D. Chitra (2015). Thresholding Technique for Color Image Segmentation. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(6), -. https://europub.co.uk/articles/-A-20950