A new feature extraction technique based on improved owl search algorithm: a case study in copper electrorefining plant

Author(s):  
Najme Mansouri ◽  
Gholam Reza Khayati ◽  
Behnam Mohammad Hasani Zade ◽  
Seyed Mohammad Javad Khorasani ◽  
Roya Kafi Hernashki
2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Sudeep Thepade ◽  
Rik Das ◽  
Saurav Ghosh

A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The technique has binarized the significant bit planes of an image by selecting local thresholds. The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance.


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