Analysis of Engineering Drawings and Raster Map Images by Thomas C. Henderson

By Thomas C. Henderson

This ebook covers updated tools and algorithms for the automatic research of engineering drawings and electronic cartographic maps. The Non-Deterministic Agent procedure (NDAS) bargains a parallel computational method of such picture research. The booklet describes strategies compatible for chronic and specific wisdom illustration for engineering drawings and electronic maps. It additionally highlights extra particular strategies, e.g., using robotic navigation and mapping how to this challenge. additionally integrated are extra designated money owed of using unsupervised segmentation algorithms to map pictures. ultimately, these types of threads are woven jointly in comparable structures: NDAS and AMAM (Automatic Map research Module).

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In the robotics path planning community, the GVD is used as a roadmap through a planar set of obstacles. The planar space is divided into free space, or a set of points through which the robot may pass, and the obstacle points through which the robot may not pass. Roadmaps 28 2 Segmentation and Vectorization provide a structure completely describing the topology of the workspace, including: accessibility, connectivity and departability. Robot motion planning consists of: 1. Find a way to get to the GVD.

Length(x): length of x. angleBetween(x,y): angle between x and y. between(x,y,z): y is between x and z. horizontal(x): x is horizontal. unequal(x,y): x and y are not the same. bisect(x,y): x and y are line segments that bisect one another. above(x,y): y is above x. below(x,y): y is below x. touchesEnd(x,y): an end of x touches an end of y. 2 Productions (Rewrite Rules) We now give a more technical definition of the structures and relations. • terminal structures: these are defined in Sect. 1, and are found by the respective agents when applied to the various images and outputs available from other image analysis agents.

Note that the result may be either a discrete class or a probability density function over all possibilities. , can be used to construct a recognizer. 1 Text/Graphics Segmentation 41 Fig. 9 Results of rule-based digit recognition • cycles: none • branch points: none • endpoints: two (of course, due to noise, etc. there may be extraneous endpoints, and thus, branch points as well. The recognition process must be robust to these possibilities) • special features: – Although there may be several endpoints, a ‘2’ will be characterized by the fact that the longest endpoint to endpoint path will be from the upper left one to the lower right one.

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