Download PDF by Robert C. Vogt: Automatic Generation of Morphological Set Recognition

By Robert C. Vogt

ISBN-10: 1461396522

ISBN-13: 9781461396529

ISBN-10: 1461396549

ISBN-13: 9781461396543

Since the early days of pcs, computing device studying and automated programming have attracted researchers in laptop technological know-how and comparable fields, really development reputation and automated keep watch over idea. many of the studying ideas in desktop belief were encouraged through development acceptance techniques that depend upon statistical suggestions. those statistical innovations have applicability in restricted reputation initiatives. computerized programming in notion structures has in most cases been constrained to interfaces that let effortless specification of the duty utilizing typical language. essentially, computer studying and automated programming could make percep­ tion platforms strong and simple to exploit. Vogt's publication addresses either those projects within the context of computing device imaginative and prescient. He makes use of morphological operations to enforce his technique which was once constructed for fixing the figure-ground challenge in photographs. His method selects the right kind se­ quence of operators to just accept or reject pixels for fmding items in a picture. The series of operators is chosen after a consumer specifies what the right kind gadgets are. at the floor it may possibly seem that the matter solved by way of the procedure isn't attention-grabbing, although, the contribution ofVogt' s paintings shouldn't be judged by way of the photographs that the procedure can section. Its actual contribution is in demonstrat­ ing, very likely for'the frrst time, that computerized programming is feasible in machine imaginative and prescient structures. the choice of morphological operators demonstrates that to enforce an automated programming-based procedure, operators whose habit is obviously outlined within the picture house are required.

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Extra info for Automatic Generation of Morphological Set Recognition Algorithms

Example text

Binary Set Combination Operations (Courtesy ERIM) For grey level images, the interpretation of the union as maximum is used to combine different types of high structures in the grey image topography that have been selected by independent techniques. It can also be used to select the pixel value from all of several input images which satisfies some criterion to the greatest extent, again as expressed by its grey value. The Intersection operator, (Xl Intersect X 2 ) or (Xl n X 2 ) is {p : p E Xl /\ P E X 2 } for binary images; it too is commutative and associative.

To implement a system for the selected problem domain, and describe its components and operation. 4. To present results showing that the implemented system is indeed capable of solving set recognition problems within its domain automatically, and that it does so in a manner significantly faster than what could be obtained by an exhaustive search. The major p:r;ogramming activity of this work has been in designing and implementing a system to solve set recognition problems, and in demonstrating the principles of this design on a number of simplified image problems, using a small set of operations, and images which are smaller and less complex than those which are normally used.

In our case we are assuming that no prior knowledge is available, but it would not be hard to extend the idea to include prior knowledge-this would simply narrow the search space by reducing the set of alternatives to be examined. The art of, the algorithm developer is to first find such discriminating criteria visually by careful observation of the class of images under examination, and by studying the problem domain and the acquisition method used to generate the images. He must then use this information in conjunction with his knowledge of image operation behavior to generate a sequence of steps which will perform the discrimination accurately, despite the normal variations in the images of departure.

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Automatic Generation of Morphological Set Recognition Algorithms by Robert C. Vogt


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