Image segmentation is a typical operation in many image analysis and computer vision applications.However, hyperspectral image segmentation is a field which have not been fully investigated.In this study an analoguedigital image segmentation technique is presented.The system uses an acousto-optic tuneable filter, and a CCD camera to capture hyperspectral images that are stored in a digital grey scale format.The data set was built considering several objects with remarkable differences in the reflectance and brightness components.In addition, the work presents a semi-supervised segmentation technique to deal with the complex problem of hyperspectral image segmentation, with its corresponding quantitative and qualitative evaluation.Particularly, the developed acousto-optic system is capable to acquire 120 frames through the whole visible light spectrum.Moreover, the analysis of the spectral images of a given object enables its segmentation using a simple subtraction operation.Experimental results showed that it is possible to segment any region of interest with a good performance rate by using the proposed analogue-digital segmentation technique.