RESEARCH PAPERS

image segmentation techniques 2012




Review and Comparison of Kernel Based Fuzzy Image Segmentation Techniques
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ABSTRACT This paper presents a detailed study and comparison of some Kernelized Fuzzy C- means Clustering based image segmentation algorithms Four algorithms have been used Fuzzy Clustering, Fuzzy C-Means (FCM) algorithm, Kernel Fuzzy C-Means (KFCM), 

A comparative study of several image segmentation techniques
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ABSTRACT In today's society people becomes more and more dependent on computer systems. The Internet shows an increasing trend regarding the usage of malicious activities such as intrusion attempts, denial-of-service attacks, phishing, spamming and worms 

The Image Positioning and Segmentation Techniques about Gauge Visual Detection System between High Signals and Contact Net Based on Target Feature
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ABSTRACT n the design process of gauge visual detection system between high signals and contact net, it is need to do target positioning and segmentation between high signals and contact line. The paper first analyzes the structural characteristics of high signals and 

Image segmentation available techniques, open issues and region growing algorithm
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In areas such as computer vision and mage processing, image segmentation has been and still is a relevant research area due to its wide spread usage and application. This paper provides a survey of achievements, problems being encountered, and the open issues in 

Image segmentation and pre-processing for electronic waste identification-Using OpenCV to compare different techniques for object extraction and rotation
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This is a master thesis which compares several methods for foreground segmentation and object rotation. By object rotation, it is meant in this thesis that for a given object, having images with different angles as input should ideally always output images with the object 

A COMPARATIVE STUDY OF SEVERAL IMAGE SEGMENTATION TECHNIQUES
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ABSTRACT Image segmentation play an important role for many image video and computer vision applications and still is a relevant research area due to its wide usage in the field like medical, remote sensing and image retrieval. Over the last few decades, many 

Image Segmentation Techniques for Noisy Digital Images based upon Fuzzy Logic-A Review and Comparison
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ABSTRACT This paper presents a comparison of the three fuzzy based image segmentation methods namely Fuzzy C-Means (FCM), TYPE-II Fuzzy C-Means (T2FCM), and Intuitionistic Fuzzy C-Means (IFCM) for digital images with varied levels of noise. Apart from qualitative 

Unsupervised Neural Techniques Applied to MR Brain Image Segmentation
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The primary goal of brain image segmentation is to partition a given brain image into different regions representing anatomical structures. Magnetic resonance image (MRI) segmentation is especially interesting, since accurate segmentation in white matter, grey 

Color image segmentation using multi-level thresholding approach and data fusion techniques: application in the breast cancer cells images
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ABSTRACT In this article, we present a new color image segmentation method, based on multilevel thresholding and data fusion techniques which aim at combining different data sources associated to the same color image in order to increase the information quality 

Effective image retrieval techniques based on novel salient region segmentation and relevance feedback
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ABSTRACT This paper proposes an effective region-based image retrieval technique based on novel salient region segmentation and relevance feedback. With a good and fast segmentation technique, our system achieves an on-the-fly segmentation capability, 

Fuzzy Image Segmentation for Mass Detection in Digital Mammography: Recent Advances andTechniques
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ABSTRACT In the last decade, many computer-aided diagnosis (CAD) systems that utilize a broad range of diagnostic techniques have been proposed. Due to both the inherently complex structure of the breast tissues and the low intensity contrast found in most 

An overview of image segmentation techniques
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ABSTRACT We present an overview of some image segmentation techniques, employed to extract regions of interest. Examples, with comparisons, are presented for Iterative Selection, Balanced Histogram, Otsu's method, Wellner algorithm, Integral Image algorithm, 

Enhanced Techniques for PDF Image Segmentation and Text Extraction
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ABSTRACT Extracting text objects from the PDF images is a challenging problem. The text data present in the PDF images contain certain useful information for automatic annotation, indexing etc. However variations of the text due to differences in text style, font, size, 

Kalman Smoothing Techniques in Medical Image Segmentation
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ABSTRACT An existing C++ library for efficient segmentation of ultrasound recordings by means of Kalman filtering, the real-time contour tracking library (RCTL), is used as a building block to implement and assess the performance of different Kalman smoothing techniques: fixed 

Object-based image analysis in remote sensing applications using various segmentation techniques
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(ELTE), Faculty of Informatics an extensive education, research and development activity is carried out in several fields of geoinformatics, in cooperation with Institute of Geodesy, Cartography and Remote Sensing (FMI). Results gained from 

Edge detection techniques for X-ray image segmentation
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ABSTRACT Image segmentation is one of the most challenging problems in image processing and has been an active area of research in the last years, especially in the medical domain. Segmentation plays a crucial role in extraction of useful information and attributes from 

A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniquesfor Color Images
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ABSTRACT Image segmentation is one of the fundamental approaches of digital image processing. Image Segmentation is a process of partitioning an image into multiple set of pixels to simplify the representation of the image. In the image segmentation field,


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