Showing papers by "Mitsuji Muneyasu published in 2003"

Primitive and point configuration texture model and primitive estimation using mathematical morphology

Abstract: A model for texture description, called "Primitive and Point Configuration (PPC) texture model," and an estimation method of the primitive, which is an elementary object for configuring a texture, are proposed in this paper. The PPC texture model regards that a texture is composed by arranging grains that are derived from one or a few primitives by some modification. The primitive shape is estimated by the principle that the primitive resembling the grains best should be the optimal estimation. This estimation is achieved by finding the structuring element that minimizes the integral of the size distribution function of a target texture.

Design of adaptive state-space digital filters using stable filter structures

Abstract: A new technique for designing adaptive state-space digital filters using stable filter structures is developed. First, the coefficient sensitivities are related to intermediate transfer functions in order to generate gradient signals. Next, the LMS algorithm is applied to construct adaptive state-space digital filters with new systems to generate gradient signals. To illustrate the validity of the proposed technique, a numerical example is given. In the example, the comparison between the proposed and conventional adaptive filters is presented

2D adaptive state‐space filters suitable for parallel processing using state‐space model with general form

Abstract: This paper proposes a realization of a two-dimensional adaptive state-space filter for parallel processing using state-space model with a general form. For the modeling of the filter, a generalized model realized for parallel processing is used and the conventional denominator-separation type model is extended. Further, the LMS (Least Mean Square) algorithm is used to construct an adaptive algorithm and its processing speed and computational effort are evaluated. By means of this method, the hardware content can be reduced while the processing speed is maintained almost the same as in the complete generalized model. Finally, in order to verify the effectiveness of the present method, an example is presented in which a two-dimensional adaptive filter is applied to the spatial domain design as a system identification problem. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(1): 46–57, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10019

Adaptive error diffusion using fuzzy reasoning for step edges

Abstract: When multivalued images are transformed to binary images, the error diffusion method is often used because it is excellent in gray scale representation. When the error diffusion method is applied by means of a raster scan, equal-color regions with all black pixels or all white pixels occur along the edges. This phenomenon has the effect of emphasizing the edges, and the edges may be visually emphasized excessively. In this paper, in order to freely control the equal-color regions, a method that adaptively adjusts the filter coefficients in the error diffusion method based only on the difference from the points to be processed is presented. The filter coefficients are computed by using fuzzy reasoning. According to the proposed method, the width of the equal-color region near a step edge can be controlled adequately by providing appropriate values. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(2): 82–90, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.1135

Design of data-dependent α-trimmed mean filters using counterpropagation networks

Abstract: Elimination of mixed noise consisting of white Gaussian noise and impulsive noise is one of the important problems in image processing. In this paper, a data-dependent α-trimmed mean filter using backpropagation networks is proposed. In order to determine an appropriate value of α for each processing point, the pattern classification capability of the backpropagation networks is used. Further, by processing taking into account the edge portions, both edge preservation and mixed noise elimination are attained simultaneously. Finally, the effectiveness of the proposed method is verified by simulation. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 3, 86(7): 30–40, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjc.10061