Astatistical performance in dicator in some image processing problems / Chang Yun Fah

• Main Author: Chang, Yun Fah
• Format: Thesis
• Published: 2012
• Subjects: Q Science (General)
• Online Access: http://studentsrepo.um.edu.my/6201/1/1_Front_Cover_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/2/2_Preface[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/3/3_Chapter_1_Introduction_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/4/4_Chapter_2_Literature_Survey_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/5/5_Chapter_3_ULFR_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/6/6_Chapter_4_MULFR_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/7/7_Chapter_5_Simulation_Study_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/8/8_Chapter_6_Online_HCCR_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/9/9_Chapter_7_JPEG_Image_Quality_Assessment_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/10/10_Chapter_8_Conclusion_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/11/11_References_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/12/12_Appendix_[ChangYF1].pdf; http://studentsrepo.um.edu.my/6201/13/Page_2_Declaration_Form.pdf; http://studentsrepo.um.edu.my/6201/

The ability to compare or relate two digital images may be useful in developing performance evaluation algorithms. This thesis investigates the use of a particular correlation measure, 2 p R developed from the multidimensional unreplicated linear functional relationship (MULFR) model with single slope, as a measure or indicator of performance. This MULFR model is an extended version of the ULFR model introduced by Adcock in 1877. A literature survey was carried out showing that 2 p R has not been used before. The coefficient 2 p R was investigated in its ability to handle the issues of non-perfect reference image, multiple image attributes and combining image local-global information simultaneously. This survey is followed with the maximum likelihood estimation of parameters and a brief discussion of some theoretical properties of 2 p R . To investigate robust properties of 2 p R , an extensive simulation exercise was then carried out. Promising results, thus far, motivate the use of 2 p R in two image analysis problems; firstly a character recognition problem and secondly a particular data compression problem. In a handwritten Chinese character recognition problem, the 2 p R achieved the highest recognition rates even the pre-processing stage is removed from the recognition system. A substantial reduction of processing time, approximately 40.36% to 75.31%, was achieved using 2 p R . In JPEG compression problem, 2 p R is used as a measure of image quality which in turn indicates the performance of the compression method. It is shown that 2 p R performs well and satisfies the monotonicity, accuracy and consistency properties when perfect reference image was used. 2 p R was also shown to perform better than some frequently used similarity measures when imperfect reference image was used.