scholarly journals Automated Classification of Dementia Using PSO based Least Square Support Vector Machine

2013 ◽  
pp. 181-185 ◽  
Author(s):  
T. R. Sivapriya ◽  
A. R. Nadira Banu Kamal ◽  
V. Thavavel
Keyword(s):  
Support Vector Machine ◽  
Least Square ◽  
Support Vector ◽  
Automated Classification

Fully automated classification of HARDI in vivo data using a support vector machine

NeuroImage ◽  
2009 ◽  
Vol 46 (3) ◽  
pp. 642-651 ◽  
Author(s):  
S. Schnell ◽  
D. Saur ◽  
B.W. Kreher ◽  
J. Hennig ◽  
H. Burkhardt ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Support Vector ◽  
Automated Classification

Detection and Classification of Watermelon Seeds Exterior Quality Based on LS-SVM Using Machine Vision

2013 ◽  
Vol 278-280 ◽  
pp. 727-730
Author(s):  
Xiai Chen ◽  
Shuang Ke ◽  
Ling Wang
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Machine ◽  
Machine Vision ◽  
Vision System ◽  
Least Square ◽  
Support Vector ◽  
Machine Vision System ◽  
High Quality ◽  
Surface Irregularities

A machine vision system was developed to investigate the detection of watermelon seeds exterior quality. The main characteristics of watermelon seeds appearance including area, perimeter, roughness and minimum enclosing rectangle were calculated by image analysis. Least square support vector machine optimized by genetic algorithm was applied for the classification of watermelon seeds exterior quality, and the broken seeds, normal seeds and high-quality seeds were distinguished finally. The surface irregularities defects of watermelon seeds were detected by machine vision grid laser. The experimental results show that the watermelon seeds exterior quality could be well detected and classified by machine vision based on least squares support vector machine.

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