Memoirs of the Scientific Sections of the Romanian Academy (Oct 2012)
Information Fusion Techniques for Segmentation of Multispectral Images
Abstract
Image Fusion is the combining process of relevant information from one, two or more images to create a single image which is more complete than any of the input ones. In this paper it is proposed a new segmentation approach for edge detection in multispectral images using image fusion techniques. It was applied for circular objects detection in multispectral images. First, the multispectral images are pre-processed to reduce noise using a speckle filtering method based on homogeneity histogram analysis and then an edge detection method is applied. The results are combined to obtain a more accurate description of the objects in the input images.