The Image Processing Handbook /

By:

JOHN RUSS [Autor]

Material type: Text

TextLanguage: Inglés Publication details: Estados Unidos CRC PRESS 1994Edition: 2a. EdiciónDescription: 700 páginas Ilustraciones. 19cm X 26cmISBN:

0849325161

LOC classification:

TA1632 R88

Contents:

1. Introduction to Imaging 1.1 What is Image Processing? 1.2 Historical Background 1.3 Applications in Science and Industry 1.4 Image Types: Binary, Grayscale, Color 2. Image Acquisition and Representation 2.1 Cameras and Sensors (CCD, SEM, etc.) 2.2 Digital Image Formats 2.3 Spatial and Intensity Resolution 2.4 Noise and Artifacts 3. Human Vision and Image Quality 3.1 Perception of Contrast and Detail 3.2 Color Vision Models 3.3 Metrics for Image Quality 4. Enhancement Techniques 4.1 Histogram Equalization 4.2 Contrast Stretching 4.3 Noise Reduction (Median, Gaussian Filters) 4.4 Edge Sharpening (Laplacian, Unsharp Mask) 5. Processing Images in Frequency Space 5.1 Fourier Transform Basics 5.2 Frequency Domain Filtering 5.3 Low-Pass vs. High-Pass Filters 5.4 Applications in Deblurring 6. Segmentation and Thresholding 6.1 Global vs. Adaptive Thresholding 6.2 Edge Detection (Sobel, Canny) 6.3 Region-Based Segmentation 6.4 Watershed Algorithm 7. Processing Binary Images 7.1 Erosion and Dilation 7.2 Connected Components Labeling 7.3 Hole Filling and Skeletonization 8. Global Image Measurements 8.1 Area, Perimeter, and Centroid 8.2 Moments and Shape Descriptors 8.3 Texture Analysis (Co-occurrence Matrices) 9. Feature-Specific Measurements 9.1 Particle Size Distribution 9.2 Orientation and Anisotropy 9.3 Counting and Classification 10. Morphological Operations 10.1 Structuring Elements 10.2 Opening and Closing 10.3 Granulometry and Pattern Recognition 11. Texture and Color Imaging 11.1 Color Spaces (RGB, HSV, Lab) 11.2 Texture Segmentation 11.3 Multispectral Imaging 12. Applications 12.1 Microscopy (Biological/Materials Science) 12.2 Medical Imaging (X-ray, MRI) 12.3 Industrial Inspection

Summary: "The Image Processing Handbook es una referencia esencial en el campo del procesamiento y análisis de imágenes, dirigido a estudiantes, ingenieros y científicos. La segunda edición (1995) cubre fundamentos y técnicas avanzadas, incluyendo: Adquisición y representación de imágenes. Mejora y filtrado de imágenes. Segmentación y medición de características. Morfología matemática. Análisis de texturas y color. Aplicaciones en microscopía, medicina e industria. El libro combina teoría con ejemplos prácticos, utilizando software de procesamiento de imágenes y casos reales. Aunque está desactualizado en técnicas modernas (como IA y deep learning), sigue siendo relevante para conceptos básicos.

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Libro	CI Tlahuac Sala General	Colección General	TA1632 R88 1994	Ej. 1	Available		ITTLAHUAC25080787

1. Introduction to Imaging
1.1 What is Image Processing?

1.2 Historical Background

1.3 Applications in Science and Industry

1.4 Image Types: Binary, Grayscale, Color

2. Image Acquisition and Representation
2.1 Cameras and Sensors (CCD, SEM, etc.)

2.2 Digital Image Formats

2.3 Spatial and Intensity Resolution

2.4 Noise and Artifacts

3. Human Vision and Image Quality
3.1 Perception of Contrast and Detail

3.2 Color Vision Models

3.3 Metrics for Image Quality

4. Enhancement Techniques
4.1 Histogram Equalization

4.2 Contrast Stretching

4.3 Noise Reduction (Median, Gaussian Filters)

4.4 Edge Sharpening (Laplacian, Unsharp Mask)

5. Processing Images in Frequency Space
5.1 Fourier Transform Basics

5.2 Frequency Domain Filtering

5.3 Low-Pass vs. High-Pass Filters

5.4 Applications in Deblurring

6. Segmentation and Thresholding
6.1 Global vs. Adaptive Thresholding

6.2 Edge Detection (Sobel, Canny)

6.3 Region-Based Segmentation

6.4 Watershed Algorithm

7. Processing Binary Images
7.1 Erosion and Dilation

7.2 Connected Components Labeling

7.3 Hole Filling and Skeletonization

8. Global Image Measurements
8.1 Area, Perimeter, and Centroid

8.2 Moments and Shape Descriptors

8.3 Texture Analysis (Co-occurrence Matrices)

9. Feature-Specific Measurements
9.1 Particle Size Distribution

9.2 Orientation and Anisotropy

9.3 Counting and Classification

10. Morphological Operations
10.1 Structuring Elements

10.2 Opening and Closing

10.3 Granulometry and Pattern Recognition

11. Texture and Color Imaging
11.1 Color Spaces (RGB, HSV, Lab)

11.2 Texture Segmentation

11.3 Multispectral Imaging

12. Applications
12.1 Microscopy (Biological/Materials Science)

12.2 Medical Imaging (X-ray, MRI)

12.3 Industrial Inspection

"The Image Processing Handbook es una referencia esencial en el campo del procesamiento y análisis de imágenes, dirigido a estudiantes, ingenieros y científicos. La segunda edición (1995) cubre fundamentos y técnicas avanzadas, incluyendo:

Adquisición y representación de imágenes.

Mejora y filtrado de imágenes.

Segmentación y medición de características.

Morfología matemática.

Análisis de texturas y color.

Aplicaciones en microscopía, medicina e industria.

El libro combina teoría con ejemplos prácticos, utilizando software de procesamiento de imágenes y casos reales. Aunque está desactualizado en técnicas modernas (como IA y deep learning), sigue siendo relevante para conceptos básicos.