A Exploratory Review on Soft Computing SegmentationTechniques
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract: Segmentation is a process to divides the images into its regions or objects that have similar featuresor characteristics. Segmentation has no single standard procedure and it is very difficult in non-trivial images.The extent, to which segmentation is carried out, depends on the problem specification. Segmentationalgorithms are based on two properties of intensity values- discontinuity and similarity. First property is topartition an image based on the abrupt changes in the intensity and the second is to partition the image intoregions that are similar according to a set of predefined criteria. In this paper some methods to detect thediscontinuity and similarity of digital images will be discussed. The basic techniques for detecting the gray leveldiscontinuities in a digital images and locating the objects and boundaries of images ( points, lines and edges)have also been discussed. The other segmentation techniques like histogram thresholding, filtration, watershed,edge detection, region growing, region splitting and merging are based on the f
Authors and Affiliations
Chandanpreet Kaur , Dr. Bikrampal Kaur
Human Being Character Analysis from Their Social Networking Profiles
In this paper, characteristics of human beings obtained from profile statement present in their social networking profile status are analyzed in terms of introvert, extrovert or ambivert. Recently, Machine learning plays...
Online Voting System (Android Application)
Abstract:Voting is the HEART of democracy. Voting provides a way to select a Leader to manage problems and other issues. The basis of this project is to create an Android application based on which voting can be performe...
Ranking optimization approach enhancement of line-up algorithm
Abstract: Ranking is a technique to categorize & finding the best option in the market. When number of best option is available in the market so its difficult to getting the best option is always a problem. In this p...
Name Entity Detection and Relation Extraction from Unstructured Data by N-gram Features on Hidden Markov Model and Kernel Approach
Abstract: In recent years Name entity extraction and linking have received much attention. However, correct classification of entities and proper linking among these entities is a major challenge for researcher. We propo...
Congestion Control Technique for Wireless Networks
Congestion control in wireless networks has been extensively investigated over the years and several schemes and techniques have been developed, all with the aim of improving performance in wireless net-work. With the...