Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presen ted. A ge ometric model of th e vehicle is defin ed where its energy function in cludes infor mation of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the ...

The improvement in image compression filed is mainly related to the need of rapid and efficient techniques for the storage and transmission of data among individuals. To obtain the maximal capabilities of storage and transmission, different compression algorithms should be compared to find the optimal technique for medical image compression. This work examines the coding properties of the Wavel...

In this paper, a new noise reduction algorithm is proposed. In general, an edge—high frequency information in an image—would be filtered or suppressed after image smoothing. The noise would be attenuated, but the image would lose its sharp information. This defect makes the post-processing harder. One new algorithm performs connectivity analysis on edge-data to make sure that only isolated edge...

Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algori...

Neuroscience and Cognitive Science Program, Department of Linguistics, Department of Biology, Department of Electrical & Computer Engineering University of Maryland, College Park MD 20742 Silicon Speech, 46 Oxford Drive, Santa Venetia, CA 94903 Department of Electrical and Electronics Engineering, Sophia University, Tokyo, Japan Now at: Equipe ‘Audition’, LPP CNRS (FRE 2929), Université Paris 5...

In this paper a new original approach to the analysis of fuzzy multi dimensional distributions is described A uniform method for representing fuzzy multi dimensional distributions by means of sectioned vectors and matrices is proposed Sectioned ma trix is interpreted as fuzzy conjunctive normal form while its line vectors are interpreted as fuzzy disjunctions Several useful characteristics of f...

We discuss the possibility of introducing a multi-resolution in a Hilbert space which is not necessarily a space of functions. We investigate which of the classical properties can be translated to this more general framework and the way in which this can be done. We comment on the procedure proposed by means of many examples. Mathematics Subject Classifications (1991): 41A65, 46C99

In the first paper of this series, we propose a multi-resolution theory of Fourier spectral estimates of finite duration signals. It is shown that multi-resolution capability, achieved without further observation, is obtained by constructing multi-resolution signals from the only observed finite duration signal. Achieved resolutions meet bounds of the uncertainty principle (Heisenberg inequalit...