Development of Efficient Object Detection Techniques for Image Fusion Application

Image fusion is a process of combining images, obtained by different sensors (generally optical and Infra Red) which uses different wavelengths of electro magnetic spectrum, to form a composite image. Object detection is the procedure of detecting the object from image or video. This paper presents an innovative object detection technique, which is based on segmentation on fused image or video. K-means clustering algorithm has been used for segmenting the objects from fused image and fused video information. The segmentation over fused images are very important for detecting hidden objects in scenes and our results show the effectiveness of the proposed approach.