Image interpretation using Bayesian networks

被引：19

作者：

Kumar, VP ^{[1
]}

Desai, UB ^{[1
]}

机构：

[1] INDIAN INST TECHNOL,DEPT ELECT ENGN,BOMBAY 400076,MAHARASHTRA,INDIA

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1996年 / 18卷 / 01期

关键词：

artificial intelligence; Bayesian networks; expert systems; object recognition; image interpretation; decision making; inference systems; Markov random fields;

D O I：

10.1109/34.476423

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The problem of image interpretation is one of inference with the help of domain knowledge. In this correspondence, we formulate the problem as the maximum a posteriori (MAP) estimate of a properly defined probability distribution function. We show that a Bayesian network can be used to represent this p.d.f. as well as the domain knowledge needed for interpretation. The Bayesian network may be relaxed to obtain the set of optimum interpretations.

引用

页码：74 / 77

页数：4

共 50 条

[31] Combining Machine Learning and Bayesian Networks for ECG Interpretation and Explanation
Wanyana, Tezira
Nzomo, Mbithe
Price, C. Sue
Moodley, Deshendran
ICT4AWE: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES FOR AGEING WELL AND E-HEALTH, 2022, : 81 - 92
[32] Scene Interpretation Using Bayesian Network Fragments
Lueders, P.
COPING WITH UNCERTAINTY: MODELING AND POLICY ISSUES, 2006, 581 : 119 - 130
[33] THE INTERPRETATION OF FLOTATION FROTH SURFACES BY USING DIGITAL IMAGE-ANALYSIS AND NEURAL NETWORKS
MOOLMAN, DW
ALDRICH, C
VANDEVENTER, JSJ
BRADSHAW, DJ
CHEMICAL ENGINEERING SCIENCE, 1995, 50 (22) : 3501 - 3513
[34] Extending Binary Neural Networks to Bayesian Neural Networks with Probabilistic Interpretation of Binary Weights
Saito, Taisei
Ando, Kota
Asai, Tetsuya
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2024, E107D (08) : 949 - 957
[35] Perceptual image quality assessment based on Bayesian networks
Zampolo, RD
Seara, R
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5, 2004, : 329 - 332
[36] Texture classification of aerial image based on Bayesian Networks
Ma, Li
Yu, Hongjing
Li, Jiatian
Chen, Hao
MIPPR 2007: PATTERN RECOGNITION AND COMPUTER VISION, 2007, 6788
[37] Bayesian Fully Convolutional Networks for Brain Image Registration
Cui, Kunpeng
Fu, Panpan
Li, Yinghao
Lin, Yusong
JOURNAL OF HEALTHCARE ENGINEERING, 2021, 2021
[38] Medical image segmentation using scalable functional variational Bayesian neural networks with Gaussian processes
Chen, Xu
Zhao, Yue
Liu, Chuancai
NEUROCOMPUTING, 2022, 500 : 58 - 72
[39] Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
Mario Haut, Juan
Paoletti, Mercedes E.
Plaza, Javier
Li, Jun
Plaza, Antonio
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 56 (11): : 6440 - 6461
[40] Image understanding algorithms for segmentation evaluation and region-of-interest identification using Bayesian networks
Jaber, Mustafa
Saber, Eli
VISUAL INFORMATION PROCESSING XX, 2011, 8056

← 1 2 3 4 5 →