Multi-bands image segmentation: a scalar approach

In the domain of multi-bands image processing, two different approaches can be considered: the scalar one and the vectorial one. This paper presents a method that belongs to the first approach. The method is achieved in three steps. The first step tempts to eliminate redundant observations by making a selection of relevant bands. In the second step, each of the selected bands is segmented using a technique of histogram multi-thresholding. In the last step, a fusion by a combination of the results of the selected bands allows one to obtain the final segmentation. This scheme is illustrated in the frame of an application in high-resolution multispectral imagery acquired by the Compact Airborne Spectrographic Imager (CASI).