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

[41] Grouping K-means adjacent regions for semantic image annotation using Bayesian networks
Oujaoura, M.
El Ayachi, R.
Minaoui, B.
Fakir, M.
Bencharef, O.
2016 13TH INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, IMAGING AND VISUALIZATION (CGIV), 2016, : 243 - 248
[42] Learner attending auto-monitor in distance learning using image recognition and Bayesian Networks
Hwang, Kuo-An
Yang, Chia-Hao
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (09) : 11461 - 11469
[43] Interpretation of EKG with Image Recognition and Convolutional Neural Networks
Das, Subrat
Epland, Matthew
Yu, Jiang
Suri, Ranjit
CURRENT PROBLEMS IN CARDIOLOGY, 2023, 48 (08)
[44] Artificial neural networks and image interpretation: A ghost in the machine
Scott, JA
SEMINARS IN ULTRASOUND CT AND MRI, 2004, 25 (05) : 396 - 403
[45] Link Prediction in Social Networks Using Bayesian Networks
Shalforoushan, Seyedeh Hamideh
Jalali, Mehrdad
2015 INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP), 2015, : 246 - 250
[46] SPOKEN LANGUAGE INTERPRETATION: ON THE USE OF DYNAMIC BAYESIAN NETWORKS FOR SEMANTIC COMPOSITION
Meurs, Marie-Jean
Lefevre, Fabrice
de Mori, Renato
2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 4773 - 4776
[47] Gene networks inference using dynamic Bayesian networks
Perrin, Bruno-Edouard
Ralaivola, Liva
Mazurie, Aurelien
Bottani, Samuele
Mallet, Jacques
d'Alche-Buc, Florence
BIOINFORMATICS, 2003, 19 : II138 - II148
[48] Using hidden nodes in Bayesian networks
Kwoh, CK
Gillies, DF
ARTIFICIAL INTELLIGENCE, 1996, 88 (1-2) : 1 - 38
[49] LEUKOCYTES CLASSIFICATION USING BAYESIAN NETWORKS
Rodriguez-Lopez, Veronica
Cruz-Barbosa, Raul
ICAART 2011: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, 2011, : 681 - 684
[50] Neural networks using Bayesian training
Andrejková, G
Levicky, M
KYBERNETIKA, 2003, 39 (05) : 511 - 520

← 1 2 3 4 5 →