Contents & References of Retrieving images of fighter planes based on 3D model
List:
Chapter 1: Introduction. 1
1-1 Introduction. 3
1-2 Some applications of CBIR systems. 4
1-2-1 Search web pages. 4
1-2-2 Law enforcement. 4
1-2-3 medical profession. 5
1-2-4 architecture and engineering design. 5
1-2-5 fashion and publication. 5
1-2-6 historical research. 5
1-2-7 remote sensing. 5
1-2-8 Some other applications. 6
1-3 research objectives. 6
1-4 research questions. 6
1-5 research results. 7
1-6 thesis structure. 8
Chapter 2: Basic concepts. 9
2-1 Introduction. 11
2-2 Objectives of CBIR systems. 12
2-3 different techniques in target search method. 13
2-3-1 Target search by visible sample. 13
2-3-2 Target search based on drawing. 13
2-3-3 target search based on the draft. 14
2-4 structure. 14
Chapter 3: Past works. 17
3-1 Recovery of 3D models. 19
3-2 Retrieving images based on content 20
3-2-1 Color. 20
3-2-1-1 color histogram. 21
3-2-1-2 moment of color. 21
3-2-1-3 circular color histogram. 22
3-2-2 texture. 23
3-2-2-1 Different statistical methods to determine texture characteristics. 24
3-2-2-2 structural methods to determine texture characteristics. 24
Figure 3-2-3. 25
3-2-3-1 Determination of shape characteristics using edge-based methods. 25
3-2-3-2 Determining the characteristics of the shape using methods based on the edge of the contour or border. 26
3-3 criteria of similarity. 26
3-3-1 possible similarity criteria. 27
3-3-1-1 Multivariate Gaussians (MVG) 27
3-3-1-2 Independent Adaptive Distributions (FIT) 28
3-3-1-3 Combination of Gaussians (GMIX) 28
3-3-1-4 Use of logical regression. 29
3-3-2 criteria of geometric similarity. 29
3-3-3 histogram similarity criteria. 29
3-3-3-1 exploratory histogram interval. 29
3-3-3-2 Non-parametric statistical tests. 30
3-3-3-3 divergence of scientific information. 30
3-3-4 Creating a new similarity criterion based on the combination of several criteria. 31
Chapter 4: Suggested methods. 33
4-1 Steps of the proposed image recovery system. 35
4-2 Preprocessing. 36
4-3 Alignment of 3D models. 37
4-4 2D maps of 3D model. 38
4-5 Reducing the number of views 40
4-5-1 Reducing views in time-sensitive methods. 41
4-5-2 Reducing views in time-resistant methods. 42
4-5-3 The final number of reduced views and their comparison 43
4-6 Shadow view extraction from database images and query image. 43
4-7 Alignment of shadow images..44
4-8 feature extraction 45
4-8-1 feature extraction with the method of non-overlapping region area. 45
4-8-2 feature extraction with gradient angle histogram method. 48
4-8-3 feature extraction with Zernike moments method. 50
4-9 Measuring similarity based on Euclidean distance. 54
4-10 Retrieving images based on similarity. 54
Chapter 5: Simulation results. 57
5-1 Database. 59
5-2 Simulation results. 62
5-3 test results. 63
4-5 An example of the results. 84
5-5 Conclusions and future work. 88
References. 90
Source:
Pourjunidi M, (2008), senior thesis, "Presentation of a new method based on color and fuzzy edge characteristics in image recovery", Faculty of Electrical, Computer and Information Technology, Qazvin Islamic Azad University.
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