International Journal of Science, Engineering and TechnologyAuthors: Siddalingesha G R
Abstract: Image processing has become one of the most important research areas in electronics, artificial intelligence, computer vision, healthcare, and industrial automation. Modern intelligent systems require accurate and real-time image analysis for applications such as medical diagnosis, autonomous vehicles, surveillance systems, robotics, agriculture, and remote sensing [1][4]. Recent developments in deep learning, Edge AI, AIoT, and quantum computing have significantly improved the performance of image processing systems [9][11][14]. This conference paper presents a comprehensive overview of modern image processing techniques including image enhancement, image restoration, segmentation, compression, feature extraction, and object recognition [1][2]. The paper also discusses recent advancements in deep learning-based vision systems, Edge AI architectures, intelligent surveillance, agricultural image analytics, and medical imaging applications [5][6][12][13]. Furthermore, the paper highlights current challenges, emerging trends, and future research directions in intelligent image processing systems.
DOI: http://doi.org/10.5281/zenodo.20507707
