Fariborz Mahmoudi

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This paper introduces a new feature vector for shape-based image indexing and retrieval. This feature classi5es image edges based on two factors: their orientations and correlation between neighboring edges. Hence it includes information of continuous edges and lines of images and describes major shape properties of images. This scheme is e8ective and(More)
This paper focuses on the applicability of the features inspired by the visual ventral stream for handwritten character recognition. A set of scale and translation invariant C2 features are first extracted from all images in the dataset. Three standard classifiers kNN, ANN and SVM are then trained over a training set and then compared over a separate test(More)
Optimization of the join ordering in query is aimed at finding an execution plan so that total cost for execution of query could be minimized. In general, this problem is considered as NP-Complete. Yet, various methods have been proposed for the problem. In this paper, the problem of optimization of the join ordering has been solved using combination of(More)
PURPOSE Multiple modalities are used in determining laterality in mesial temporal lobe epilepsy (mTLE). It is unclear how much different imaging modalities should be weighted in decision-making. The purpose of this study is to develop response-driven multimodal multinomial models for lateralization of epileptogenicity in mTLE patients based upon imaging(More)
The purpose of forensic dentistry is to identify individuals based on their dental characteristics. In this paper, a methodology to classify and assign numbers to teeth in bitewing dental images is presented. The goal is to using the result of this methodology in an automated dental identification system. In this way, proposed approach benefits of(More)
Most research in evolutionary computation focuses on optimization of static, non-changing problems. Many real-world optimization problems, however, are dynamic, and optimization methods are needed that are capable of continuously adapting the solution to a changing environment. In this paper we describe a novel algorithm, which we have called(More)
Development of an automatic defect detection system has a major impact on the overall performance of ceramic tile production industry. With this in mind, in this paper, a new algorithm has been offered for segmentation of defects in random texture tiles. firstly, by using undecimated discrete wavelet Transform (UDWT), frequency features of textures which(More)