We present in this paper a study of unsupervised evaluation criteria that enable the
quantification of the quality of an image segmentation result. These evaluation criteria …

Object-based image analysis (OBIA) has been widely adopted as a common paradigm to
deal with very high-resolution remote sensing images. Nevertheless, OBIA methods strongly …

Segmentation is a fundamental step in image analysis and remains a complex problem.
Many segmentation methods have been proposed in the literature but it is difficult to …

Image segmentation is the most important operation in image processing that changes the
representation of an image to be useful in much computer vision applications. During the …

This paper deals with evaluation of image segmentation methods. We start with a state-of-
the art of the evaluation criteria, involving a reference segmentation or not. Based on an …

This paper explores the potentiality of using the completed local binary pattern (CLBP) for
the classification of an urbanized oasis area situated in southeastern Tunisia, in very high …

We present in this article a new supervised evaluation criterion that enables the
quantification of the quality of region segmentation algorithms. This criterion is compared …

Accurate segmentation of the medical image of the brain is significant stage in the
identification of a brain tumor during the preparation of radiotherapy. In general, medical …

Описана методика, позволяющая вычислять количественные значения показателя
качества сегментации изображений. В соответствии сданной методикой проведен …

Devant le foisonnement de méthodes développées depuis plusieurs décennies pour la
segmentation des images, le problème de l'évaluation est devenu crucial. Disposer de …