Intelligent Perception and Information Processing – serie

This book explores intelligent object detection technology in industrial workshop scenarios in depth, evaluating its potential to transform traditional manual operations into digital, networked, and intelligent paradigms by serving as the "perceptual core" of smart workshops. It provides fundamental technical support for critical applications such as production line inspection, safety monitoring, mobile robot navigation, and human-machine collaboration—scenarios inherently exposed to complex environmental backgrounds, diverse object scales, and high real-time requirements. Research on industrial workshop object detection has attracted professionals and scholars from multiple disciplines, including computer vision, deep learning, industrial automation, and intelligent manufacturing. Adopting a systematic approach, the book constructs a comprehensive technical framework covering dataset construction, 2D semantic segmentation, depth camera calibration, depth image inpainting, 3D object detection, and 3D instance segmentation, while emphasizing the significance of multi-modality fusion and cross-dimensional learning in addressing core technical challenges. The book is intended for undergraduate and graduate students interested in intelligent object detection, researchers exploring computer vision and industrial intelligence, and engineers engaged in the development of smart factory systems, autonomous robots, or industrial automation applications.

This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information. Multiple graph neural network-based clustering methods for hyperspectral images are proposed, effectively improving the clustering accuracy of hyperspectral images and taking an important step towards the practical application of hyperspectral images. This book is innovative in content and emphasizes the integration of theory with practice, which can be used as a reference book for graduate students, senior undergraduate students, researchers, and engineering technicians in related majors such as electronic information engineering, computer application technology, automation, instrument science and technology, remote sensing.