Hybridization of Otsu Method and Median Filter for Color Image Segmentation

TL;DR

This paper introduces a novel color image segmentation algorithm that combines Otsu's method for thresholding each color channel with median filtering to improve segmentation quality and reduce distortion.

Contribution

The paper presents a new hybrid approach that integrates Otsu's thresholding with median filtering for enhanced color image segmentation.

Findings

Effective segmentation of color images into significant regions.

Improved image quality with reduced distortion after filtering.

Demonstrated robustness across various test images.

Abstract

In this article a novel algorithm for color image segmentation has been developed. The proposed algorithm based on combining two existing methods in such a novel way to obtain a significant method to partition the color image into significant regions. On the first phase, the traditional Otsu method for gray channel image segmentation were applied for each of the R,G, and B channels separately to determine the suitable automatic threshold for each channel. After that, the new modified channels are integrated again to formulate a new color image. The resulted image suffers from some kind of distortion. To get rid of this distortion, the second phase is arise which is the median filter to smooth the image and increase the segmented regions. This process looks very significant by the ocular eye. Experimental results were presented on a variety of test images to support the proposed algorithm.