1985
DOI: 10.1016/0734-189x(85)90136-7
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Topological structural analysis of digitized binary images by border following

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Cited by 364 publications
(383 citation statements)
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“…Thus, given the image I j captured from camera, we extract all the black ellipses {e i } ∈ I j (Fig. I) according to [4] that correspond to the projections of the circles {c i }. Since an ellipse is a conic section, in the most general case it is possible to write the ellipse equation in this form: Step by step illustration of the membrane surface reconstruction process.…”
Section: A Physical Setupmentioning
confidence: 99%
“…Thus, given the image I j captured from camera, we extract all the black ellipses {e i } ∈ I j (Fig. I) according to [4] that correspond to the projections of the circles {c i }. Since an ellipse is a conic section, in the most general case it is possible to write the ellipse equation in this form: Step by step illustration of the membrane surface reconstruction process.…”
Section: A Physical Setupmentioning
confidence: 99%
“…5. A border following technique [55] was used to generate a collection of contours with different size and shape throughout the border of binary image as shown in Fig. 12(c).…”
Section: Lip Segmentationmentioning
confidence: 99%
“…To the binary image containing the lip region a contour extraction algorithm was applied using a border following technique [55]. From the collection of contours produced, the largest is selected to generate the lip outline.…”
Section: Lip Geometry Feature Extractionmentioning
confidence: 99%
“…The extracted objects are represented in the form of trees, in which the root is a sequence representing the outer contour and the children are sequences designating inner contours of successive depth levels. The implemented algorithm, developed originally by Suzuki and Abe (1985), bases on two principle identifiers denoted by NBD and LNBD. The NBD identifier stands for the sequential number of the newly-found border and LNBD represents the sequential number of the border recently encountered during the searching process.…”
Section: Video Processingmentioning
confidence: 99%