Reza ShafaghiIslamic Azad University, Najafabad Branch | IAUN · Department of Electrical Engineering
Reza Shafaghi
PhD Candidate
About
4
Publications
17,520
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47
Citations
Introduction
Working fields:
1-Segmentation of Multi/Hyper-Spectral Remote Sensing Images
2-Image Fusion (Pansharpening)
3-Medical Image Processing
4-EEG Signal Processing
Additional affiliations
June 2015 - present
September 2013 - present
Sama College of Kerman
Position
- Electronic
September 2012 - present
Besat University of Kerman
Position
- Television System
Education
September 2005 - September 2009
Publications
Publications (4)
Hyper-Spectral images have few samples and massive spectral bands so extracting informative features in few seconds is vital. We are working on Super-pixel segmentation and Sparse coding classification to classify the regions.
This paper presents a hybrid approach for classification of brain tissues, such as white matter (WM), gray matter (GM), cerebral spinal fluid (CSF), background (BKG), and tumor tissues, in Magnetic Resonance Images (MRI) based on Artificial Neural Networks (ANN) and Genetic Algorithm (GA). In the proposed technique after seeded region growing segme...
This paper presents a hybrid approach for detection of brain tumor tissues in Magnetic Resonance Images (MRI) based on Genetic Algorithm (GA) and Support Vector Machine (SVM). Three texture and intensity feature sets are taken as input. First set consists statistic features such as: Entropy, Kurtosis, Skewness, Mean, Energy, Momentum, Correlation a...
Questions
Questions (5)
I am searching for a paper that contains the origin of an approach. but when I searched in internet, I couldn't find it as PDF format.
What is the solution to access papers like this?
In remote sensing, using panchromatic band with high spatial resolution to fuse spectral bands is a way to enhance images. That makes images rich in spectral and spatial resolution simultaneously.
Without having a reference image, how can we evaluate the result?
How is possible to change the transfer function of a feedforward backpropagation neural network in Matlab? It means if I want to change 'tansig' function to 'myfunction', what should I do?
