In the domain of multi-bands image processing, two different approachescan be considered: the scalar one and thevectorial one. This paper presents a method that belongs to the first approach. The method is achieved in three steps. The first steptempts to eliminate redundant observationsby 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 laststep, a fusionby a combination of the results of the selected bands allows 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 SpectrographicImager (CASI).