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• W1781229478 abstract "Publisher Summary This chapter describes hexagonal sampling of images. Various aspects of hexagonal sampling are investigated, including the evolution of hexagonal arrays of biological sensors, the effect of the choice of sampling grid and tiling on the appearance of the image, and the light-gathering properties of the sensor. The effect of the sampling grid on the structure of multiprocessor systems is discussed. A comparison between the processing of rectangularly and hexagonally sampled images by a pipeline processor is done in the chapter. Hexagonal connectivity between the set of pixels in the object and the set in the background can both be defined as 6-way connected. If the cluster of hexagons is considered an object, then connectivity between a central pixel and each of the six surrounding neighbors is identical apart from the orientation of the border between the pixels. For the square scheme, pixels can be considered a part of an object if they are either 4-way connected—that is, along a vertical or horizontal border or 8-way connected where corner-to-corner connectivity is allowed. Background pixels can also be either 4- or 8-way connected, but if the foreground is 8-way connected, the background must be 4-way connected or vice versa; otherwise foreground and background features may cross over one another." @default.
• W1781229478 created "2016-06-24" @default.
• W1781229478 creator A5076319566 @default.
• W1781229478 date "1999-01-01" @default.
• W1781229478 modified "2023-09-23" @default.
• W1781229478 title "Hexagonal Sampling in Image Processing" @default.
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• W1781229478 doi "https://doi.org/10.1016/s1076-5670(08)70188-5" @default.
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