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Showing papers on "Corner detection published in 1983"


Journal ArticleDOI
TL;DR: An algorithm for the automatic contour detection of objects in CT images is presented, which requires little memory space, allows easy incorporation of different types of local digital filters, and is fast.
Abstract: An algorithm for the automatic contour detection of objects in CT images is presented. It requires little memory space, allows easy incorporation of different types of local digital filters, and is fast. Typical computation time with a minicomputer is less than one second. An implementation of the algorithm for the detection of bone contours from low dose CT images is given as an example.

51 citations


DOI
01 Jun 1983
TL;DR: In this article, image analysis techniques applicable to remote sensing data and covering image models, feature detection, segmentation and classification, texture analysis, and matching are studied, including edge and corner detection as well as global extraction of linear features.
Abstract: Image analysis techniques applicable to remote sensing data and covering image models, feature detection, segmentation and classification, texture analysis, and matching are studied. Model types for characterizing images examined include random-field, mosaic, and facet models. Edge and corner detection as well as global extraction of linear features are discussed. Pixel clustering and classification are covered in addition to the regional approach to segmentation. Autocorrelation, second-order gray level probability density, and the use of primitive element statistics are discussed in relation to texture analysis. Finally, reducing the cost of (sub)imaging matching methods (e.g., pixelwise comparison of gray levels and normalized cross-correlation between two images) as well as improving match sharpness is considered.

1 citations


Patent
26 Dec 1983
TL;DR: In this paper, the authors proposed a method to detect an accurate corner position by detecting roughly the corner position with a line sequential scan and applying a heuristic searching method to an obtained contour part.
Abstract: PURPOSE:To detect an accurate corner position, by detecting roughly the corner position with a line sequential scan and applying a heuristic searching method to an obtained contour part. CONSTITUTION:A binary coded picture fed from a picture input device 101 is stored temporarily at a picture data storage part 102. A circumscribed rectangle detecting part 103 scans the picture data to search the contour of an object and then detects a rectangular region inscribed to said contour. The contour is divided by the contacts of the rectangle, and each of these divide contours undergoes a linear scan from the edge line of the rectangle to obtain a position data on the contour. A scanning direction setting part 104 sets the scanning direction to enable the corner detection and avoids the undetection of corners. Then the position data of each partial contour is detected at a linear scan contour detecting part 105 in response to the set direction. A searching part 107 carries out searching in a heuristic searching method.

1 citations