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FACULTY OF ELECTRICAL &
ELECTRONICS ENGINEERING

Student

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PROFESOR IR. DR. KAMARUL HAWARI BIN GHAZALI
Tel: 609 - 424 6029/5021
Fax: 609 - 424 6111
Email: kamarul@ump.edu.my

Abstract:

A unique feature descriptor is very important to ensure successful matching of the points of interest. Current approaches of feature descriptor that depend on intensity information of the grayscale image are not able to differentiate the feature for tissues and organs images (TOI). The main reason is TOI have homogeneous property of texture, surface and color. Therefore, in this paper a novel descriptor for tissues and internal organs matching, namely set vector log-ratio descriptor is proposed. The descriptor focuses on the enhancement of the intensity feature through a fusion of log normal distribution and ratio proportion approach. Experimental results show that the proposed descriptor achieves more than 90% recognition rate for all datasets and average error distance as low as 4.34 pixels. Besides, the validation results also confirmed that the algorithm performs relatively well compared to existing descriptors.

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