Hardcover. Etat : new. Hardcover. Introduction to Image Processing: Provide a foundation in digital image processing, focusing on techniques for enhancing, analyzing, and interpreting images in various formats and applications. Image Representation and Formats: Discuss how images are represented digitally using pixels, resolution, color models (RGB, grayscale), and common file formats (JPEG, PNG, TIFF). Image Enhancement Techniques: Explore methods such as contrast adjustment, histogram equalization, and noise reduction to improve image quality for better visualization. Image Filtering and Transformation: Introduce spatial and frequency domain filtering techniques using convolution, Fourier transforms, and edge detection to extract meaningful features. Image Segmentation and Analysis: Discuss techniques for segmenting images into regions or objects, including thresholding, region growing, and edge-based methods for object recognition. Morphological Operations: Examine the use of morphological techniques (e.g., erosion, dilation) in binary image processing for shape analysis and noise removal. Compression and Storage: Highlight image compression methods such as lossless (PNG) and lossy (JPEG), which help reduce file size while maintaining image integrity. Applications and Tools: Explore practical applications in fields like medical imaging, remote sensing, security, and computer vision, and introduce basic tools and software used in digital image processing (e.g., MATLAB, OpenCV). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9789360843212

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Introductory Digital Image Processing

Arjun Raj M Sooraj V S

Edit� par Astral International Pvt. Ltd. Jan 2026, 2026

ISBN 10 : 9360843210 ISBN 13 : 9789360843212

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Neuware - Introduction to Image Processing: Provide a foundation in digital image processing, focusing on techniques for enhancing, analyzing, and interpreting images in various formats and applications. Image Representation and Formats: Discuss how images are represented digitally using pixels, resolution, color models (RGB, grayscale), and common file formats (JPEG, PNG, TIFF). Image Enhancement Techniques: Explore methods such as contrast adjustment, histogram equalization, and noise reduction to improve image quality for better visualization. Image Filtering and Transformation: Introduce spatial and frequency domain filtering techniques using convolution, Fourier transforms, and edge detection to extract meaningful features. Image Segmentation and Analysis: Discuss techniques for segmenting images into regions or objects, including thresholding, region growing, and edge-based methods for object recognition. Morphological Operations: Examine the use of morphological techniques (e.g., erosion, dilation) in binary image processing for shape analysis and noise removal. Compression and Storage: Highlight image compression methods such as lossless (PNG) and lossy (JPEG), which help reduce file size while maintaining image integrity. Applications and Tools: Explore practical applications in fields like medical imaging, remote sensing, security, and computer vision, and introduce basic tools and software used in digital image processing (e.g., MATLAB, OpenCV). N� de r�f. du vendeur 9789360843212

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