J
Junpei Tsujiuchi
Researcher at Tokyo Institute of Technology
Publications - 47
Citations - 646
Junpei Tsujiuchi is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Color image & Holography. The author has an hindex of 14, co-authored 47 publications receiving 645 citations.
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Patent
Method of processing endoscopic images
TL;DR: A method of processing images taken by an endoscope having insertion section, bending section and operation section is described in this paper, where a step of detecting a positional relation between the first and second positions by detecting the movement of the bending section is performed.
Patent
Optical image input/output apparatus for objects having a large focal depth
TL;DR: In this paper, a plurality of input images are weighted and added together, and image recovery processing of the thus added images is then performed, where each image has a fixed focal depth.
Patent
Method and apparatus for detecting corresponding regions between picture images
TL;DR: In this article, a method for detecting corresponding regions between a plurality of picture images comprises the steps of setting respective operation object regions, calculating a variance of mutual concentration or density distributions in the operation objects regions, and detecting the regions which have been set in which the calculated variance value is at a minimum.
Patent
Correlation operational apparatus for multi-dimensional images
TL;DR: In this article, a correlation operational apparatus for multi-dimensional images is proposed, which includes the means for reducing at least two-dimensional components of the multidimensional images by at least one component by projecting the image onto a space perpendicular to a vector representing a large variance of distribution of the multidimensional image in a vector space whose orthogonal axes represent the individual dimensions of the image.
Journal ArticleDOI
Color image correlation
TL;DR: A formulation for color image correlation is proposed, which is capable of discriminating between images according to their color as well as their spatial information.