*7.1 Computation of General Features**7.1.1 Shape Decomposition**7.1.2 Differential and Derivative Filters**7.1.3 Median Filtering**7.1.4 Smoothing Techniques, Adaptive Smoothing**7.1.5 Fourier Descriptors, DFT, FFT Computation, Use, Frequency Analysis**7.1.6 Gabor Filters -- General**7.1.7 Feature, Object, Blob Detection and Spot Detection Systems**7.1.8 Interest Operators, Interest Points, Feature Points, Salient Points**7.1.8.1 Local Features, Computation, Analysis**7.1.8.2 Keypoint Detection**7.1.8.3 HOG Analysis, Histogram of Oriented Gradient**7.1.8.4 Three-Dimensional Interest Points, Depth Data Interest Points**7.1.8.5 Rotation Invariant Features**7.1.8.6 Scale Invariant Features, SIFT, SURF, ASIFT**7.1.8.7 Local Binary Patterns, LBP, Point Features**7.1.8.8 Vector of Locally Aggregated Descriptors, VLAD Features**7.1.8.9 Evaluation of Salient Point, Interest Point Detection*

*7.1.9 Contourlet Representations and Processing**7.1.10 Region of Interest Detection, ROI**7.1.11 Maximally Stable Extremal Regions, MSER Descriptions*

*7.2 Computation of Shape Features of Two Dimensional Objects**7.3 Skeletons and Axial Descriptions - Medial Axis Transform (MAT) etc.**7.3.1 Distance Transforms, Functions and Skeletons**7.3.2 Use of Skeletons for Recognition and Representation**7.3.3 Medial Axis Transform, MAT, Skeletons in Three Dimensions**7.3.4 Processing of Skeletons for Descriptions**7.3.5 Axial Descriptions**7.3.6 Thinning Algorithms**7.3.7 Distance Transforms, Distance Functions, Distance Measures**7.3.8 Fast, Parallel, Multiresolution Techniques for the Computation of Skeletons*

*7.4 Symmetries in Two Dimensions**7.5 Processing and Analysis of Binary (Two Level) Images**7.6 Extraction and Analysis of Connected Components and Boundaries**7.7 Two Dimensional Data Representations, Image Order**7.8 Quadtree, Hierarchical and Pyramid Representations**7.9 Review, Comparison, Evaluation of Texture Analysis Techniques**7.10 Statistical Methods for Texture Description and Analysis**7.10.1 Texture Discrimination and Classification**7.10.2 Color Textures and Texture with Color**7.10.3 Markov Random Field Models**7.10.4 Hierarchical, Multi-Scale Texture Representations and Analysis**7.10.5 Texture Synthesis**7.10.6 Oriented Texture, Directional Texture Patterns**7.10.7 Filter Approaches to Texture**7.10.8 Fractals for Texture Analysis and Description, Fractal Dimension**7.10.9 Autoregressive Texture Models, AR Models**7.10.10 Autocorrelation Texture Models**7.10.11 Statistical Image Models**7.10.12 Dynamic Textures**7.10.13 Texture for Defect Detection*

*7.11 Transforms for Texture -- Fourier**7.12 Co-occurrence Matrix Description Methods**7.13 Structural Methods for Texture Description*

Last update:Dec 23, 2019 at 15:47:08