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Journal ArticleDOI

Connectivity in Digital Pictures

Azriel Rosenfeld
- 01 Jan 1970 - 
- Vol. 17, Iss: 1, pp 146-160
TLDR
It is shown that every simply-connected object in such a picture has elements which can be deleted without destroying its simple- connectedness, which makes it easy to prove that a well-known "shrinking" algorithm always works--that is, shrinks any simply- connected object down to a single element.
Abstract
Natural concepts of connectedness and simple-connectedness are defined for subsets of a digital picture. It is shown that every simply-connected object (with more than one element) in such a picture has elements which can be deleted without destroying its simple- connectedness. This makes it easy to prove that a well-known "shrinking" algorithm always works--that is, shrinks any simply-connected object down to a single element. It also becomes easy to show that the natural "edge-following" algorithm, in which one "keeps one's hand on the wall," follows completely around the edge of any simply-connected object; this result in turn can be used to show that a well-known "border-following" algorithm (in which one follows the border elements of the object rather than the "cracks" between the object and its comple- ment) always works. Various related questions are also treated, among them, that of whether there can exist a "parallel" shrinking algorithm.

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Citations
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Journal ArticleDOI

Statistical and structural approaches to texture

TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Journal ArticleDOI

Topological Structural Analysis of Digitized Binary Images by Border Following

TL;DR: Two border following algorithms are proposed for the topological analysis of digitized binary images, which determine the surroundness relations among the borders of a binary image and follow only the outermost borders.
Journal ArticleDOI

A fast parallel algorithm for thinning digital patterns

TL;DR: A fast parallel thinning algorithm that consists of two subiterations: one aimed at deleting the south-east boundary points and the north-west corner points while the other one is aimed at deletion thenorth-west boundarypoints and theSouth-east corner points.
Journal ArticleDOI

Thinning methodologies-a comprehensive survey

TL;DR: A comprehensive survey of thinning methodologies, including iterative deletion of pixels and nonpixel-based methods, is presented and the relationships among them are explored.
Journal ArticleDOI

Computer Processing of Line-Drawing Images

TL;DR: Various forms of line drawing representation are described, different schemes of quantization are compared, and the manner in which a line drawing can be extracted from a tracing or a photographic image is reviewed.
References
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Journal ArticleDOI

Sequential Operations in Digital Picture Processing

TL;DR: The relative merits of performing local operations on ~ digitized picture in parallel or sequentially are discussed and some applications of the connected component and distance functions are presented.
Journal ArticleDOI

The recognition of handwritten numerals by contour analysis

TL;DR: A character recognition system has been developed for the recognition of handwritten numerals using a logically controlled cathode ray tube scanner to generate basic measurements that characterize significant features of the numeral shapes.
ReportDOI

Graphical-data-processing research study and experimental investigation

TL;DR: The automatic training procedure of the 1,000-image optical preprocessor, which is a significant technical development of MINOS II is analyzed in detail; both logical and electrical circuits are given.
Proceedings ArticleDOI

The CELLSCAN system - T.M. a leucocyte pattern analyzer

TL;DR: The CELLSCAN system is intended to determine whether the resultant histogram of the binucleate lymphocyte is unique in the histogram population of all leucocytes.