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· 분류 : 외국도서 > 기술공학 > 기술공학 > 공학일반
· ISBN : 9780367254391
· 쪽수 : 152쪽
· 출판일 : 2019-08-12
목차
Chapter 1: Introduction to Shape Feature 1.1 Introduction to Shape Feature 1.2 Importance of Shape Features 1.3 Properties of Efficient Shape Features 1.4 Types of Shape features 1.5 Summary Chapter 2: One Dimensional Function Shape Features 2.1 Complex Coordinate 2.2 Centroid Distance Function 2.3 Tangent Angle 2.4 Contour Curvature 2.5 Area Function 2.6 Triangle Area Representation 2.7 Cord Length Function 2.8 Summary Chapter 3: Geometric Shape Features 3.1 Center of Gravity 3.2 Axis of Minimum Inertia 3.3 Average Bending Energy 3.4 Eccentricity 3.5 Circularity ratio 3.6 Ellipticity 3.7 Rectangularity 3.8 Convexity 3.9 Solidity 3.10 Euler Number 3.11 Profiles 3.12 Hole Area Ratio 3.13 Summary Chapter 4: Polygonal Approximation Shape Features 4.1 Merging Method 4.2 Splitting Method 4.3 Minimum Perimeter Polygon 4.4 Dominant Point Detection 4.5 K-means Method 4.6 Genetic Algorithm 4.7 Ant Colony Optimization Method 4.8 Tabu Search Method 4.9 Summary Chapter 5: Spatial Interrelation Shape Features 5.1 Adaptive Grid Resolution 5.2 Bounding Box 5.3 Convex-Hull 5.4 Chain Code 5.5 Smooth Curve Decomposition 5.6 Beam Angle Statistics 5.7 Shape Matrix 5.8 Shape Context 5.9 Chord Distribution 5.10 Shock Graphs 5.11 Summary Chapter 6: Moments Shape Feature 6.1 Contour Moment 6.2 Geometric Invariant Moment 6.3 Zernike Moment 6.4 Radial Chebyshev Moment 6.5 Legendre Moment 6.6 Homocentric Polar-Radius Moment 6.7 Orthogonal Fourier-Mellin Moment 6.8 Pseudo-Zernike Moment 6.9 Summary Chapter 7: Scale Space Shape Features 7.1 Curvature Scale Space 7.2 Morphological Scale Space 7.3 Intersection Points Map 7.4 Summary Chapter 8: Shape Transform Domain Shape Features 8.1 Fourier Descriptors 8.2 Wavelet Transforms 8.3 Angular Radial Transformation 8.4 Shape Signature Harmonic Embedding 8.5 ?-Transform 8.6 Shapelets Descriptor 8.7 Summary Chapter 9: Applications of Shape Features 9.1 Digit Recognition 9.2 Character Recognition 9.3 Fruit Recognition 9.4 Leaf Recognition 9.5 Hand Gesture Recognition 9.6 Summary