Edge Detection to Enhance Definite Range Image Segmentation by Clustering Algorithms
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2012, Vol 1, Issue 4
Abstract
Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodologies. However, edge detection provides rich information about the scene being observed. Many researchers have been taking advantage of edge detection information to improve the segmentation of range images by integrating edge detection with other different segmentation techniques. This paper presents a methodology to perform edge detection in range images in order to provide are liable and meaningful edge map, which helps to enhance and improve range image segmentation by clustering techniques identifies edge map leads to three important suitable initial cluster centers and identification of distinct regions with similar features. Experimental results that substantiate the effectiveness of this work are presented.
Authors and Affiliations
P. Pedda Sadhu Naik, T. Venu Gopal
Keywords
Related Articles
- EP ID EP27463
- DOI -
- Views 367
- Downloads 6
Secured Architecture To Access Cloud Based Services
Cloud computing is new software IT revolution refers to the delivery of computer resources over the internet. Cloud storage is about much more than hosting online media. You need to deliver online media content, such...
Extraction of Frequent Subgraph from Graph Database
Graphs are promising abstraction of complex structured and semi-structured data. Graph mining techniques extract, analyze and summarize significant and useful information from the graph databases. Finding frequent su...
A Proposed System and Scheduling Algorithm for Grid based Indian Rural health Care
This paper focusses on proposing a system for grid based health care center. The paper dicusses the importance of health care center and grid computing. It also focusses on the proposed sytem architecture for the sys...
An Efficient Method for Steganography in Videos
This paper applies steganography algorithm in videos. In proposed method we are hiding the data in a compressed video by using optimal pixel adjustment process (OPAP). Secrete Message is first encrypted by using cryp...
Comparing Tesseract results with and without Character localization for Smartphone application
Tesseract is considered the most accurate free OCR engine in existence. Android operating system based Smartphones application where images taken from camera of mobile device or browsed from gallery are preprocessed....