Digital Image Processing - Advancing Machine Vision for Intelligent Automation
Fouad Sabry
Casa editrice: One Billion Knowledgeable
Sinossi
1: Digital image processing: Introduces the fundamental principles and techniques for manipulating digital images, setting the foundation for the following chapters. 2: JPEG: Explores the JPEG format, detailing its compression techniques, applications, and importance in digital image storage. 3: 2D computer graphics: Examines the creation and manipulation of 2D graphics, highlighting their relevance in robotics and visual representation. 4: Affine transformation: Discusses geometric transformations, focusing on how affine transformations are used in image alignment and mapping. 5: Image compression: Provides an indepth look at compression methods, optimizing image data storage and transmission for efficient processing. 6: Motion compensation: Explains motion estimation techniques that help in the tracking and compensation of moving objects in video sequences. 7: Discrete cosine transform: Describes the application of the discrete cosine transform in image compression, focusing on its impact in JPEG compression. 8: Video camera: Investigates the role of video cameras in capturing and processing images, crucial for robotics and motion analysis. 9: Canny edge detector: Analyzes the Canny edge detector, a powerful tool in identifying boundaries within images, vital for object recognition. 10: Digital image: Delves into the essence of digital images, discussing their representation and processing in digital systems. 11: Image segmentation: Covers the methods of segmenting images into meaningful regions, essential for object detection and classification in robotics. 12: Quantization (image processing): Explores the quantization process in image compression and its effect on image quality and data size. 13: Scaleinvariant feature transform: Investigates a technique for detecting and describing local image features, particularly useful in object recognition and matching. 14: Motion estimation: Describes algorithms for estimating motion in video sequences, crucial for tracking and analyzing dynamic environments. 15: Median filter: Explains the median filter, a key method in noise reduction in images, important for improving image quality in robotic applications. 16: Image sensor: Provides insight into image sensors, their operation, and their critical role in capturing digital images for analysis. 17: Camera resectioning: Examines the process of calibrating cameras to map 3D space to 2D images, vital for accurate visual data in robotics. 18: Histogram matching: Discusses the technique of matching histograms to standardize image characteristics, improving consistency in image processing. 19: Rigid motion segmentation: Analyzes methods for segmenting rigid motion in video sequences, essential for understanding object movement. 20: Data compression: Covers various techniques for compressing data in both image and video formats, ensuring efficient storage and transmission. 21: Lossy compression: Discusses the concept of lossy compression, its tradeoffs, and its applications in digital image storage and transfer.
Disponibile da: 18/12/2024.
Lunghezza di stampa: 323 pagine.
