Image Processing: Principles and Applications Achatya,Tinku  

Image Processing: Principles and Applications

Loại tài liệu: Tài liệu giấy - SH:Sách, chuyên khảo, tuyển tập

Tác giả: Achatya,Tinku

Nhà xuất bản: Wiley.

Năm xuất bản: 2005

Tóm tắt nội dung

This book provides an in-depth exploration of the fundamental concepts, techniques, and applications of image processing. It is designed for students, researchers, and professionals in fields such as computer science, electrical engineering, and applied mathematics. Key topics include: Fundamentals of Image Processing: Introduction to image representation, basic transformations, and enhancement techniques such as histogram equalization and filtering. Image Analysis: Techniques for edge detection, segmentation, and feature extraction to interpret image content. Frequency Domain Methods: Applications of Fourier and wavelet transforms for image compression and noise reduction. Color and Multispectral Processing: Handling and processing color images and multispectral data for advanced analysis. Applications: Case studies in areas like medical imaging, remote sensing, and computer vision. Emerging Technologies: Discussion on AI-driven image processing techniques, including deep learning and neural networks.

Mã ngôn ngữ:eng
Chỉ số phân loại:621.3
Tác giả:Achatya,Tinku Ray, Ajoy K
Thông tin nhan đề:Image Processing: Principles and Applications
Xuẩt bản,phát hành:Canada. Wiley. 2005
Mô tả vật lý:428p.
Từ khóa:Color. Image Formation. Image Processing
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