An Efficient Perceptual of CBIR System using MIL-SVM Classification and SURF Feature Extraction

Bhuvana Shanmugam,Radhakrishnan Rathinavel,Tamije Perumal,Subhakala Subbaiyan

#SURF #MIL-SVM #LBG #HI

Image Segmentation Based on Watershed and Edge Detection Techniques Nassir Salman

perform image segmentation and edge detection tasks. We obtained an initial segmentation based on K-means clustering

#Watershed # difference in strength map # K-means # edge detection # image segmentation

Image Segmentation by Gaussian Mixture Models and Modified FCM Algorithm

and Mohamed Mahjoub

#EM algorithm # FCM algorithm # image segmentation # a daptive distance

Medical Image Segmentation With Fuzzy C-Means

Anusuya Venkatesan1 and Latha Parthiban2 1Department of Information Technology, Saveet ha School of Engineering, India 2Department of Computer Science, Pondicherry University, India

#Medical image segmentation # c lustering # FCM # KFCM # PSO #QPSO and DBI

Edge Preserving Image Segmentation using Spatially Constrained EM Algorithm

Abstract: In this paper, a new method for edge preserving image segmentation based on the Gaussian Mixture Model (GMM)

#Gaussian mixture model # expectation maximization # bilateral filter # image segmentation

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

India

#Fast k-means # fast k-mean (weight) # fast k- means (careful seeding) # and particle swarm clustering algorithm

Medical Image Segmentation Based on Fuzzy Controlled Level Set and Local Statistical

Mohamed Boudiaf, Algérie

#Segmentation # level sets # medical images # image resolution # fuzzy rules # ROI

MR Brain Image Segmentation Using an Improved Kernel Fuzzy Local Information C-Means Based

Methods

#Image segmentation # outlier rejection # FCM # PSO # spatial fuzzy clustering # wavelet transform # level set methods

Overview of Automatic Seed Selection Methods for Biomedical Images Segmentation

Abstract: In biomedical image processing, image segmentation is a relevant research area due to its wide spread usage and

#Automatic seed selection # biomedical image # region growing segmentation # region of interest # region extraction # edge extraction # feature extraction

Hidden Markov Random Fields and Particle

Laboratoire des Méthodes de Conception des Systèmes-Ecole Nationale Supérieure en Informatique,

#Brain image segmentation # hidden markov random field # swarm particles optimization # dice coefficient

Medical Image Segmentation using a Multi-Agent System Approach

Faculty of Computer Science and Information Techno logy, University of Malaya, Malaysia

# Medical image segmentation # agent # multi-agent syst em

Saliency Cuts: Salient Region Extraction based on Local Adaptive Thresholding for Image

Information Recognition of the Visually Impaired

#Saliency region extraction # saliency map # saliency cuts # local adaptive thresholding # the visually impaired

Otsu s Thresholding Method Based on Plane Intercept Histogram and Geometric Analysis

Leyi Xiao1, Honglin Ouyang1, and Chaodong Fan2 1College of Electrical and Information Engineering, Hunan University, China 2Foshan Green Intelligent Manufacturing Research Institute, Xiangtan University, China

#3-D Otsu’s method # threshold selection # Otsu’s method # 3-D histogram # image segmentation

A Novel Image Retrieval Technique using Automatic and Interactive Segmentation

Asjad Amin and Muhammad Qureshi

#CBIR # information retrieval # image segmentation # multimedia image retrieval

Image Segmentation with Multi-feature Fusion in Compressed Domain based on Region-Based Graph

Hong-Chuan Luo,Bo Sun,Hang-Kai Zhou,Wen-Sen Cao

#Image segmentation #region-based graph #multi-feature fusion #compressed domain

Crop Disease Prediction with Convolution Neural Network (CNN) Augmented With Cellular

Automata, SSSN Usha Devi Nedunuri

#CNN # cellular automata # disease prediction # image segmentation # weather prediction