Intelligent Computing and Analytics in Image Processing

Explores the amalgamation of intelligent computing, analytics, and image processing, introducing novel applications and new solutions to image processing challenges. Discusses the processing of biological and biomedical imaging, looking at ML and deep learning for diagnosis and detection of brain tumors, diabetes, heart disease, etc.

This volume explores a wide range of advanced applications of intelligent technologies in image processing across diverse domains. It examines biological and biomedical imaging, highlighting the use of machine learning and deep learning techniques for the diagnosis and detection of conditions such as brain tumors, diabetes, pneumonia, and heart disease. Beyond healthcare, the book presents applications of intelligent computing in areas including plant identification and leaf disease detection, fruit classification and counting, forensic analysis, facial detection and emotion recognition, and sketch-tophoto synthesis. It also provides insights into key deep learning approaches, such as convolutional neural networks (CNNs) and the Inception V3 architecture, along with image enhancement techniques like contrast limited adaptive histogram equalization (CLAHE).