Image Processing Techniques and Applications
Description: This cluster of papers focuses on the development and evaluation of autofocusing algorithms for microscopy and digital cameras, with applications in depth estimation, shape reconstruction, and tuberculosis detection. It also explores techniques such as shape from focus, defocus, and image processing methods for accurate autofocusing in various imaging systems.
Characteristic keywords: autofocus, shape from focus, depth from defocus, focus measure, defocus blur, depth from focus, out-of-focus images, focus stacking, focus detection, all-in-focus image, defocus range, DotF-GFP, image sharpness evaluation, focusing accuracy, defocus detection, microscope automation, defocus estimation, focus measurement, image focus, focus blur, camera focusing, focus value, all-in-focus imaging
Sibling topics: Remote-Sensing Image Classification, RFID technology advancements, Experimental Learning in Engineering, Advanced Optical Imaging Technologies, Smart Cities and Technologies, ICT Impact and Policies, Advanced Image Fusion Techniques, Engineering Education and Curriculum Development, Vehicle License Plate Recognition, Telecommunications and Broadcasting Technologies, Diverse Cultural Media Analysis
Parent subfield: Media Technology
Field: Engineering
Domain: Physical Sciences
OpenAlex ID: T13114