Thermal Image Segmentation

Thermal image segmentation is an important branch of computer vision, aiming to classify thermal imaging data at the pixel level through algorithms to extract and identify specific thermal feature regions. Its goal is to improve the detection accuracy and segmentation effect of target objects in thermal images, thereby achieving more precise temperature distribution analysis. This technology has extensive application value in industrial inspection, medical diagnosis, security monitoring, and other fields, effectively enhancing the intelligence level and decision-making capabilities of systems.