Thermal Hotspot Clustering
Developed a clustering mechanism using K-means Algorithm which identifies hotspots regions for different building objects such as walls and windows in thermal Images.The objects were clustered based on their color patterns and selecting hotspot using pixel temperatures.The clustering results were further compared with a threshold-based approach, K-means found similar hotspots temperatures with higher hotspot density.