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This paper presents a new classification method of the various cereal grains varieties. The first phase consists in generating primitives using the wavelet techniques. These primitives are tested by a statistical study and validation tests to extract the deterministic parameters. The second part consists in developing a neuronal classifier designed using(More)
Despite the wide applications of matching descriptors, much work hasn't been done on it. In the current paper, we extended the use of the existing techniques in object detection in 2D images to video sequences by extracting the Spatio-temporal Interest points using spatio-temporal Harris detector. Features descriptors are computed on the pixels around these(More)
In this paper, three image classification methods based on Interest Points (IP) will be presented to identify different types of noise attack (Affine, Zoom, Blur and Contrast) between two images using SIFT descriptor. The first one is an affine classifier deduced from several test on a standard images database. The second is a fuzzy classifier based on(More)
The minimization of energy as well as the elongation of the network life time cycle represent an important challenge for the conception of the wireless sensors networks routing protocols that are characterized by a dense deployment of knots because these later are characterized by limited capacity of batteries. Besides, to recharge batteries in sensor's(More)
The purpose of this paper is to evaluate and compare different spatio-temporal interest points (STIP) detectors which are considered as extensions of the most common interest points (IP) detectors in 2D images to 3D space-time features: Harris 3D, Motion Scale Invariant Feature Transform (MoSIFT) and Speeded Up Robust Features Motion History Image(More)
Human's Region of Interest is considered as one of the most challenges problems in visual perception field. Due to the huge amount of information carried out, the research in the field of human region of interest tries to avoid the data overload by choosing salient areas from the total visual scene to be processed at first. In this context, salient regions(More)
Recently, Content Based Image Retrieval (CBIR) has received a great attention by researchers. It becomes one of the most interesting topic in computer vision and image processing. CBIR image can be represent by local or global features. The entire image is described in the case of global features by using a novel descriptor called Upper-Lower of Local(More)
Visual saliency approaches aim to detect regions that attract human attention more than others. To find salient objects in a video shot we start from the hypothesis that moving objects attract attention more than other and are considered salient. In this paper, a novel video saliency model is proposed. Saliency map is the result of a combination between a(More)