Application of EM algorithm to image processing
碩士 === 國立中山大學 === 應用數學研究所 === 84 === EM(Expectation-Maximization) 法則是統計學中使用於"最大似然估計" (MLE, Maximum Likelihood Estimation) 的運算方法, EM 法則使用機 率分佈函數來表示影響影像的因子(如影像灰階值, 圖素的數目),而過 去的技術看來,並沒有任何一種技術能將影像數位化的複雜過程,像 EM 法則一樣,使用機率分佈函數來整合影響影像成像的各...
Main Authors: | HUANG, YAO TIEN, 黃耀田 |
---|---|
Other Authors: | CHIANG, Y. JOHN |
Format: | Others |
Language: | en_US |
Published: |
1996
|
Online Access: | http://ndltd.ncl.edu.tw/handle/80210703879458063194 |
Similar Items
-
Effective Color Transfer Algorithms for Images
by: Yao-Hsien Huang, et al.
Published: (2006) -
Effectiveness of genetic algorithms in games
by: 黃耀田
Published: (2008) -
Hardware/Software Co-design of an Embedded Image Processing Platform and Its Applications
by: Yao-Chang Huang, et al.
Published: (2008) -
Theory and Experimental Verification of Modal Based Piezoelectric Transformer for LCD Backlight Inverters
by: Yao Tien Huang, et al.
Published: (2006) -
Analysis and simulation of temporal and spatial variations of suspended particulates in the urban area, Kaohsiung
by: Yao-Tien Huang, et al.
Published: (2005)