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M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, "Processing of ri-angiocardiographic images," in Digital Processing of Biomedical Images, K. Preston and M. Onoe, eds., pp. 187--202, 1976.

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Robust Estimation of Orientation for Texture Analysis - van den Boomgaard, Weijer (2002)   (2 citations)  (Correct)

....di erently oriented patterns is shown with corresponding histogram in (d) In case the regions showing di erent textures are of suf cient size it is possible to use a post processing step to sharpen the smoothed orientation measurements. A classical way of doing so is the Kuwahara Nagao operator [5], 6] 7] At a certain position in an image this operator searches for a nearby neighborhood where the (orientation) response is more homogeneous then it is at the border. That response is then used at the point of interest. In this way the neighborhoods are not allowed to cross the borders of ....

M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, \Processing of ri-angiocardiographic images," in Digital Processing of Biomedical Images, K. Preston and M. Onoe, Eds., 1976, pp. 187-202.


Morphology-Based Filter Structure For Edge-Enhancing Smoothing - Schulze, Pearce (1994)   (1 citation)  (Correct)

....types of filters with both linear and nonlinear operators into a single mathematical formalism. The idea of choosing among several local neighborhoods based on a criterion other than the output of the filtering operation has been used many times before in schemes for edge preserving smoothing [1 5]. Typically, these smoothing algorithms output the mean of a local neighborhood that has the smallest variance. For example, Kuwahara [1] defined a smoothing filter that finds the quadrant of a filtering window that has the smallest sample variance, and outputs the mean of that quadrant. The idea ....

....neighborhoods based on a criterion other than the output of the filtering operation has been used many times before in schemes for edge preserving smoothing [1 5] Typically, these smoothing algorithms output the mean of a local neighborhood that has the smallest variance. For example, Kuwahara [1] defined a smoothing filter that finds the quadrant of a filtering window that has the smallest sample variance, and outputs the mean of that quadrant. The idea behind this smoothing technique is that regions containing edges will have a higher variance than more homogeneous regions, and so the ....

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. M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, "Processing of RI-angiocardiographic images," i n Digital Processing of Biomedical Images, K. Preston Jr. and M. Onoe, Editors. New York: Plenum, 1976. pp.


Linear Smoothing + Morphological Sharpening = Kuwahara-Nagao .. - van den Boomgaard   Self-citation (Kuwahara)   (Correct)

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M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, Processing of RIangiocardiographic images, in Digital Processing of Biomedical Images, K. Preston, Jr. and M. Onoe, Editors. New York: Plenum, 1976. pp. 187-202. REFERENCES 9


Copyright Notice - Copyright Society Of (2006)   (Correct)

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M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, "Processing of ri-angiocardiographic images," in Digital Processing of Biomedical Images, K. Preston and M. Onoe, eds., pp. 187--202, 1976.


Fundamentals Of Image Processing - Young, Gerbrands, van Vliet (1995)   (6 citations)  (Correct)

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Kuwahara, M., et al., Processing of RI-angiocardiographic images, in Digital Processing of Biomedical Images, K. Preston and M. Onoe, Editors. 1976, Plenum Press: New York. p. 187-203.


Mathematical Properties of the Pseudomedian Filter - Schulze (1990)   (1 citation)  (Correct)

No context found.

Kuwahara, M., K. Hachimura, S. Eiho, and M. Kinoshita. "Processing of RI-angiocardiographic image" in K. Preston, Jr. and M. Onoe, eds., Digital Processing of Biomedical Images. New York: Plenum, 1976, pp. 187-202. 81


Biomedical Image Processing with Morphology-Based Nonlinear Filters - Schulze (1994)   (Correct)

No context found.

M. Kuwahara, K. Hachimura, S. Eiho, and M. Kinoshita, "Processing of RI-angiocardiographic images," in Digital Processing of Biomedical 236 Images, K. Preston, Jr. and M. Onoe, Editors. New York: Plenum, 1976. pp. 187-202.

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