祖传财产 发表于 2025-3-25 04:50:26

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伸展 发表于 2025-3-25 09:56:09

Morphological Approach to Industrial Image Inspection of Honeycomb Composite Materials,rocessing analysis based on a morphological approach is promising. This is evidentiated in this work, by proposing some techniques which profit by morphological operations, and by showing some results.

CHASM 发表于 2025-3-25 12:32:24

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Bravura 发表于 2025-3-25 19:23:48

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饶舌的人 发表于 2025-3-25 21:57:51

Software Issues for Machine Vision,to the different available processors in order to use the system efficiently. Lastly, hierarchical architectures like pyramidal computers are considered by discussing a language (PCL) which is particularly designed for this multiprocessor organization.

ATP861 发表于 2025-3-26 02:03:51

Signed Euclidean Distance Transform Applied to Shape Analysis,re of this distance transform that a vector in the distance map is always pointing to the nearest background point is exploited in several applications, such as the detection of dominant points in digital curves, curve smoothing, computing Dirichlet tessellations and finding convex hulls.

cardiac-arrest 发表于 2025-3-26 05:34:40

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摇曳的微光 发表于 2025-3-26 10:02:37

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妨碍议事 发表于 2025-3-26 16:08:02

Picture Labeling and Shape Descriptors for Machine Vision,e adopted, depending on the features one desires to extract. The distance transformation provides an adequate picture labeling when shape is of interest. In this paper, figures digitized on the square grid as well as on the hexagonal grid are taken into account. Distance transforms approximating at

Subdue 发表于 2025-3-26 17:52:09

Morphological Approach to Industrial Image Inspection of Honeycomb Composite Materials,eresting approaches consists in sensing the energy coming from the heated material, by means of an IR TV camera, and real time image processing of the acquired images (thermography). For a particular class of materials, characterized by regular internal structure (‘honeycomb’ composites), an image p
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查看完整版本: Titlebook: Issues on Machine Vision; G. G. Pieroni Book 1989 Springer-Verlag Wien 1989 architecture.architectures.image analysis.machine vision.objec