Algorithms for image processing and computer vision

Algorithms for image processing and computer vision

Parker, J.R.

84,90 €(IVA inc.)

INDICE: Preface. Chapter 1 Practical Aspects of a Vision System Image Display, Input/Output, and Library Calls. OpenCV. The Basic OpenCV Code. The IplImage Data Structure. Reading and Writing Images. Image Display. An Example. Image Capture. Interfacing with the AIPCV Library. Website Files. References. Chapter 2 Edge-Detection Techniques. The Purpose of Edge Detection. Traditional Approaches and Theory. Models of Edges. Noise. Derivative Operators. Template-Based Edge Detection. Edge Models: The Marr-Hildreth Edge Detector. The Canny Edge Detector. The Shen-Castan (ISEF) Edge Detector. A Comparison of Two OptimalEdge Detectors. Color Edges. Source Code for the Marr-Hildreth Edge Detector.Source Code for the Canny Edge Detector. Source Code for the Shen-Castan EdgeDetector. Website Files. References. Chapter 3 Digital Morphology. MorphologyDefined. Connectedness. Elements of Digital MorphologyBinary Operations. Binary Dilation. Implementing Binary Dilation. Binary Erosion. Implementation of Binary Erosion. Opening and Closing. MAXA High-Level Programming Language for Morphology. The 'Hit-and-Miss' Transform. Identifying Region Boundaries. Conditional Dilation. Counting Regions. Grey-Level Morphology. Opening and Closing. Smoothing. Gradient. Segmentation of Textures. Size Distribution of Objects. Color Morphology. Website Files. References. Chapter 4 Grey-Level Segmentation.Basics of Grey-Level Segmentation. Using Edge Pixels. Iterative Selection. The Method of Grey-Level Histograms. Using Entropy. Fuzzy Sets. Minimum Error Thresholding. Sample Results From Single Threshold Selection. The Use of Regional Thresholds. Chow and Kaneko. Modeling Illumination Using Edges. Implementation and Results. Comparisons. Relaxation Methods. Moving Averages. Cluster-Based Thresholds. Multiple Thresholds. Website Files. References. Chapter 5 Texture and Color. Texture and Segmentation. A Simple Analysis of Texture in Grey-Level Images. Grey-Level Co-Occurrence. Maximum Probability. Moments. Contrast. Homogeneity. Entropy. Results from the GLCM Descriptors. Speeding Up the Texture Operators. Edges and Texture. Energy and Texture. Surfaces and Texture. Vector Dispersion. Surface Curvature. Fractal Dimension. Color Segmentation. Color Textures. Website Files. References. Chapter 6 Thinning. What Is a Skeleton?The Medial Axis Transform. Iterative Morphological Methods. The Use of Contours. Choi/Lam/Siu Algorithm. Treating the Object as a Polygon. Triangulation Methods. Force-Based Thinning. Definitions. Use of a Force Field. Subpixel Skeletons. Source Code for Zhang-Suen/Stentiford/Holt Combined Algorithm. Website Files. References. Chapter 7 Image Restoration. Image DegradationsThe RealWorld. The Frequency Domain. The Fourier Transform. The Fast

  • ISBN: 978-0-470-64385-3
  • Editorial: John Wiley & Sons
  • Encuadernacion: Rústica
  • Páginas: 504
  • Fecha Publicación: 03/12/2010
  • Nº Volúmenes: 1
  • Idioma: Inglés