A Study of Image Segmentation and Edge Detection Techniques
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2
Abstract
Image segmentation is the key behind image understanding. Image segmentation is one of the most important steps leading to the analysis of processed image data. It is the prime area of research in computer vision. A number of image segmentation techniques are available ,but there is no one single technique that is suitable to all the applications .Hence researches select the techniques as per the application or combine more than one techniques as per the requirement of the application. In this paper we have discussed about some image segmentation techniques like edge based, region based and integrated techniques and explains in brief the edge based techniques and their evaluation. This paper focuses on edge based techniques and their evaluation.
Authors and Affiliations
PunamThakare
Keywords
Related Articles
- EP ID EP129474
- DOI -
- Views 107
- Downloads 0
Analysis and Simulations of Routing Protocols with Different Load Conditions of MANETs
In this paper, we have compared important characteristics of MANET proactive routing protocol (DSDV), reactive protocols (AODV, DSR and TORA) and hybrid protocol (ZRP). Extensive simulations are being carried out with di...
Tree-kNN: A Tree-Based Algorithm for Protein Sequence Classification
The phylogenomic classification of protein sequences attempts to categorize a given protein within the evolutionary context of the entire family. It involves mainly four steps: selection of homologous sequences, multiple...
Optimization of fuzzy multi-company workers assignment problem with penalty using genetic algorithm
In this paper, we proposed the fuzzy multi-job and multi-company workers assignment problem with penalty. Our purpose is obtaining the optimal solution the assignment problem, where n jobs are assigned to m workers (m>...
Traffic Engineering without Congestion Hot Spots in MPLS
Traffic Engineering [1] broadly relates to optimization of the performance of the operational IP network. In networking, network congestion occurs when a link or node is carrying so much data that its quality of service...
An Analysis of Particle Swarm Optimization with Data Clustering-Technique for Optimization in Data Mining
Data clustering is a popular approach for automatically finding classes, concepts, or groups of patterns. Clustering aims at representing large datasets by a fewer number of prototypes or clusters. It brings simplicity i...