Research Article
Implementing Edge Detection for Detecting Neurons from Brain to Identify Emotions
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 61 - Issue 9 |
| Published: January 2013 |
| Authors: Madhulika, Abhay Bansal, Amandeep, Madhurima |
10.5120/9957-4603
|
Madhulika, Abhay Bansal, Amandeep, Madhurima . Implementing Edge Detection for Detecting Neurons from Brain to Identify Emotions. International Journal of Computer Applications. 61, 9 (January 2013), 28-33. DOI=10.5120/9957-4603
@article{ 10.5120/9957-4603,
author = { Madhulika,Abhay Bansal,Amandeep,Madhurima },
title = { Implementing Edge Detection for Detecting Neurons from Brain to Identify Emotions },
journal = { International Journal of Computer Applications },
year = { 2013 },
volume = { 61 },
number = { 9 },
pages = { 28-33 },
doi = { 10.5120/9957-4603 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2013
%A Madhulika
%A Abhay Bansal
%A Amandeep
%A Madhurima
%T Implementing Edge Detection for Detecting Neurons from Brain to Identify Emotions%T
%J International Journal of Computer Applications
%V 61
%N 9
%P 28-33
%R 10.5120/9957-4603
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodology. Edge detection is a basic and important subject in computer vision and image processing In this Paper we discuss several Digital Image Processing Techniques applied in edge feature extraction. Firstly, Linear filtering of Image is done is used to remove noises from the image collected. Secondly, some edge detection operators such as Sobel, Log edge detection, canny edge detection are analyzed and then according to the simulation results, the advantages and disadvantages of these edge detection operators are compared. It is shown that the canny operator can obtain better edge feature. Finally, Edge detection is applied to identify neurons in Brain. After this the Neurons are classified and feature vector will be calculated.
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