Performance evaluation of different Segmentation techniques for Underwater and Arial images

Abstract

The quality of underwater images is directly affected by water medium, atmosphere medium, pressure and Temperature. Arial images are affected by space temperature and solar noise. The segmentation is the most challenging and important process in the image processing. This emphasizes the necessity of image segmentation, which divides an image into parts that have nearest similarity with objects to reflect the actual information collected from the real world. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. Several general-purpose algorithms and techniques have been developed for image segmentation However ,evaluation of segmentation algorithms thus far has been largely subjective , leaving a system designer to judge the effectiveness of a technique based only on intuition and results in the form of few example segmented images .This is largely due to image segmentation being a ill defined problem-there is no unique ground truth segmentation of an image against which the output of an algorithm may be compared. The performance of an image segmentation algorithm depends on its Simplification of image. In this paper, different segmentation algorithms namely, edge based image segmentation, watershed, and K-means segmentation are implemented for underwater and Arial images and they are compared using quality parameter like PSNR, RMSE and quantitative parameter like Entropy. Out of the above methods the experimental results show that K-means clustering algorithm performs better than other methods in processing underwater images.

Authors and Affiliations

Kelvin Jayantilal Bhalodiya, Kaushal Doshi

Keywords

Related Articles

Recent Issues and Its Quick Fixes for Various Data Repositories

The aim of this study was to assess the issues and their quick fixes of databases. But the database accuracy has a trickle down effect in most implementations. This paper proposes the overall guidance about the techni...

Implementation of Grid Based Distributed 3P4W System Using ANFIS Control

The increase in global energy demand and load demand, the Renewable Energy Sources (RES) are increasingly connected in the distribution systems which utilises power electronics Converters/Inverters. This paper sugges...

Applications of MVS on Hierarchical Clustering Algorithms

Clustering is a valuable method that arranges a large quantity of unordered text documents into a small number of expressive and coherent clusters, thereby offering a basis for instinctive and informative steering an...

ROUTING THROUGH CROSS LAYER APPROACH FOR WIRELESS MAC LAYER NETWORKS

Wireless mesh networks (WMNs) are dynamically self-organized and self-configured, with the nodes in the network automatically establishing an ad hoc network and maintaining the mesh connectivity. WMNs are comprised o...

Analysis of the data with multiple features in retail domain

In enterprise data mining applications it is crucial to develop effective techniques for mining rules combining necessary information from multiple relevant business areas,catering for real business settings and deci...

Download PDF file
  • EP ID EP27826
  • DOI -
  • Views 258
  • Downloads 0

How To Cite

Kelvin Jayantilal Bhalodiya, Kaushal Doshi (2014). Performance evaluation of different Segmentation techniques for Underwater and Arial images. International Journal of Research in Computer and Communication Technology, 3(1), -. https://europub.co.uk/articles/-A-27826