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Abstract
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Article Information:
Research on Law’s Mask Texture Analysis System Reliability
Gan Hong Seng, Tan Tian Swee and Hum Yan Chai
Corresponding Author: Tan Tian Swee
Submitted: November 04, 2013
Accepted: December 06, 2013
Published: May 15, 2014 |
Abstract:
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Texture analysis of X-ray bone image using Laws’ mask for direct evaluation of the bone quality has been popular. Nevertheless, detailed reliability evaluation of the system classification has been relatively unknown. In this study, we will examine the reliability of the Laws’ mask system classification by using the confusion matrix approach. The precise detection system by using standard deviation statistical descriptor is supported by the true positive of 87.5% and true negative of 83.33%. In conclusion, the statistical analysis of the texture based osteoporosis detection system’s reliability discloses a true potential in this detection technique. Nevertheless, future researches should include a larger image database to enhance the reliability of the results.
Key words: Confusion matrix, osteoporosis, statistical descriptor, texture, , ,
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Cite this Reference:
Gan Hong Seng, Tan Tian Swee and Hum Yan Chai, . Research on Law’s Mask Texture Analysis System Reliability. Research Journal of Applied Sciences, Engineering and Technology, (19): 4002-4007.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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