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Linear delineation

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The article was published on 1987-01-01 and is currently open access. It has received 45 citations till now.

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Journal ArticleDOI

An unbiased detector of curvilinear structures

TL;DR: By analyzing the scale-space behavior of a model line profile, it is shown how the bias that is induced by asymmetrical lines can be removed and the algorithm not only returns the precise subpixel line position, but also the width of the line for each line point, also with subpixel accuracy.
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Extracting Straight Lines

TL;DR: The algorithm appears to be more effective than previous techniques for two key reasons: 1) the gradient orientation is used as the initial organizing criterion prior to the extraction of straight lines, and 2) the global context of the intensity variations associated with a straight line is determined prior to any local decisions about participating edge elements.
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Model driven edge detection

TL;DR: This work presents a technique that integrates both photometric and geometric models with an initial estimate of the boundary, and shows the ability of the geometric model to overcome various photometric anomalies, thereby finding boundaries that could not otherwise be found.
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An algorithm for real-time vessel enhancement and detection.

TL;DR: An algorithm based on a set of linear filters sensitive to vessels of different orientation and thickness, which can be integrated to obtain images in which vessels are highly enhanced independently of their direction and thickness is presented.
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Locating perceptually salient points on planar curves

TL;DR: The underlying ideas and algorithmic details of a computer program that performs at a human level of competence for a significant subset of the curve partitioning task are described.
References
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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.
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Detection of roads and linear structures in low-resolution aerial imagery using a multisource knowledge integration technique

TL;DR: In this article, a computer-based approach to the problem of detecting and precisely delineating roads, and similar line-like structures, appearing in low-resolution aerial imagery is described.
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An iconic transform for sketch completion and shape abstraction

TL;DR: This paper shows how a simple label propagation technique, in conjunction with some novel ideas about how labels can be applied to an image to express semantic knowledge, leads to the simplification of a number of diverse and difficult image analysis tasks.