Segmentation of medical images

Deklerck, Rudi; Cornelis, Jan; Bister, Michel

doi:10.1016/0262-8856(93)90068-r

Cited by 52 publications

(28 citation statements)

References 6 publications

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“…For instance, if the object pixels represent obstacles, then the DT tells us how far a point is from these obstacles. This information is for example useful when one needs to segment a medical image [9][10][11][13][14][15] or tries to move a robot in the free space and to keep it away from the obstacles [26][27][28].…”

Section: Distance Transformmentioning

confidence: 99%

“…In the last decade of the previous century, DT found their way to applications such as route planning [61] and (robot) navigation [26], collision prevention [27], handwriting recognition [62], image segmentation [9] (see also Fig. (1)), skeletonization [63], Voronoi tessellations [30,64], Watershed algorithms [65], and MRI data analysis [66].…”

Section: On More Than 30 Years Of Researchmentioning

confidence: 99%

“…Medical image segmentation [9][10][11][13][14][15] is one of image processing's most important fields of application. A significant amount of progress has been achieved in this field, as is illustrated by this patent application.…”

Section: Patent Applicationsmentioning

confidence: 99%

“…On the other hand, they are applied within various applications; see for example, [53,69,91]. In the last case, DT are either applied by themselves or as an intermediate method such as: route planning and (robot) navigation [26,28,56,61,70], collision prevention [27], video surveillance [69,71], internal radiation therapy [13], handwriting recognition [62,72], (medical) image segmentation [9][10][11][13][14][15] (see also Fig. (1)), skeletonization [63,73], Voronoi tessellations [30,64], BouligandMinkowsky fractal dimension [74], Watershed algorithms [65], neuromorphometry [73,75], MRI data analysis [76,92], and volume rendering [36,77], to mention but a few.…”

Section: Current and Future Developmentsmentioning

confidence: 99%

“…In the areas of computer vision, image and video processing, it is usually necessary to extract information about the shape and the position of the foreground pixels relative to each other using a segmentation procedure [9][10][11][12][13][14][15]. Subsequently, many techniques are involved to accomplish this task; one such technique is the DT; see also Fig.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Distance Transforms: Academics Versus Industry

Broek

Schouten²

2011

CSENG

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Abstract:In image and video analysis, distance transformations (DT) are frequently used. They provide a distance image (DI) of background pixels to the nearest object pixel. DT touches upon the core of many applications; consequently, not only science but also industry has conducted a significant body of work in this field. However, in a vast majority of the cases this has not been published in major scientific outlets but has been filed as a patent application. This article provides a brief introduction into DT, including a specification of a few of the most prominent algorithms in the field. Next, a few interesting algorithms from the last decade are discussed. A benchmark including eight DT algorithms (i.e., city block, Danielsson's algorithm, chamfer 3-4, hexadecagonal region growing, a recent claimed true Euclidean DT, and three exact Euclidean DT) has been executed, which illustrates the intriguing complexity of DT in terms of precision and computational complexity. Subsequently, a selection of key patent applications are discussed that have emerged in this field, including their scientific merit and areas of application. Finally, this article's findings are summarized and discussed, with an emphasis on both the common ground of scientific articles and patent applications as well as the added value they can have to each other.

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