Introductory Digital Image Processing
Overview
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).
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Details
- ISBN-13: 9789360843212
- ISBN-10: 9360843210
- Publisher: Wordpen Academics
- Publish Date: January 2026
- Dimensions: 9.21 x 6.14 x 0.38 inches
- Shipping Weight: 0.79 pounds
- Page Count: 126
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