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In this paper, we describe a new scheme to color image segmentation which is based on supervised pixel classification methods. Using color pixel classification alone does not extract accurately enough color regions, so we suggest to use a strategy based on four steps in different color spaces: simplification, pixel classification, marker extraction and(More)
— This paper presents asymptotic bounds and limits for the mean channel capacity of MIMO systems under Ricean channel conditions. It is shown that the mean capacity per dimension decreases as the K factor increases in value and approaches a value equal to that of the underlying scattering channel when the number of antennas are large and the specular matrix(More)
— This paper presents asymptotic bounds and limits for the ergodic channel capacity of MIMO systems under Ricean channel conditions. It is shown that the ergodic capacity per dimension decreases as the K factor increases in value and approaches a value equal to that of the underlying scattering channel when the number of antennas are large. The accuracy of(More)
In this paper, we describe a new scheme for color image segmentation based on supervised pixel classification methods. Using color pixel classification alone does not extract accurately enough color regions, so we suggest to use a strategy based on four steps : simplification, pixel classification, marker extraction and color watershed growing. We detail in(More)
A chemometric method based on an hypothesis test approach built upon RLS (Recursive Least Square) algorithm is presented. This method offers an alternative for online recognition: each analyzed sample leads to the convergence of the system to a state characteristic of the presence of a chemical compound. We present how hypothesis tests are used to exploit(More)