Showing papers on "Structuring element published in 1986"
01 Sep 1986-Graphical Models \/graphical Models and Image Processing \/computer Vision, Graphics, and Image Processing
TL;DR: The theory and algorithm for optimal structuring element decomposition into a morphological dilation of smaller structuring elements each of which is utilized in a successive stage of the pipeline is given.
Abstract: To efficiently perform morphological operations with specialized pipeline hardware which is not able to utilize all the points in the domain of the structuring element in one pipeline stage requires the capability of decomposing the structuring element into a morphological dilation of smaller structuring elements each of which is utilized in a successive stage of the pipeline. In this paper, we give the theory and algorithm for such optimal structuring element decomposition.
172 citations
15 Oct 1986
TL;DR: In this paper, the authors performed morphological shape transformations on binary images by optically convolving the input image with the desired structuring element (e.g., a disk) and thresholding the output.
Abstract: Morphological shape transformations on binary imagery can be performed by optically convolving the input image with the desired structuring element (e.g., a disk) and thresholding the output. Photographic film can be used for thresholding, but better results are obtained with electronic scanning and hard-limiting. Erosions, dilations, and median filtering can be performed directly. Openings and closings require an image store and feedback. Results of simple experiments are presented.
32 citations
Patent•
07 Aug 1986
TL;DR: In this paper, the value of each pixel is modified as a function of the values of a set of associated pixels, assuming their value in at least the image and being located inside a sliding window related to the pixel to be transformed.
Abstract: The transformation applies to images defined by pixels each presenting a characteristic, such as a brightness, defined by a digital value, with the pixels being distributed according to a matrix and their relations and distances established by a neighborhood graph. All or part of the image is explored according to a predetermined exploration mode and the value of each pixel is modified as a function of the values of a set of associated pixels, assuming their value in at least the image and being located inside a sliding window related to the pixel to be transformed, identical for all pixels and constituting a structuring element. The transformed version of each pixel is immediately substituted for the preceding value in an image memory. To implement the process, a device can be utilized having a morphological opening processor, an image memory and a morphological processor with rewrite processing.
22 citations