Medical Image Understanding Technology: Artificial by Professor Ryszard Tadeusiewicz (auth.), Professor Ryszard
By Professor Ryszard Tadeusiewicz (auth.), Professor Ryszard Tadeusiewicz, Professor Marek R. Ogiela (eds.)
A specific description of a brand new method of perceptual research and processing of scientific photographs is given. rather than conventional development popularity a brand new approach to photo research is gifted, in line with a syntactic description of the shapes chosen at the snapshot and graph-grammar parsing algorithms. this technique of "Image figuring out" are available as a version of mans’ cognitive photo knowing methods. The usefulness for the automated realizing of the advantage of scientific photos is established in addition to the facility for giving beneficial diagnostic descriptions of the health problems. As an program, the creation of a content-based, instantly generated index for arranging and for looking scientific photos in multimedia scientific databases is presented.
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Additional resources for Medical Image Understanding Technology: Artificial Intelligence and Soft-Computing for Image Understanding
Example text
Moreover, searching through separate index files is much faster than searching through the whole base 'pumped' with large volume digital image records. A relevant record should appear in the index file for each image for which (as a result of automatic semantic analysis) the code representing its meaning is discovered. The share of images understandable for the computer can vary; probably it will take a very long time before it is be possible to build such an efficient semantic indexation mechanism, wh ich would be able to find an adequate description to each medical image from any data base.
11. (Please compare this figure with Fig. 9. for the analysis of source images and with Fig. 10. for considering grammar rules). I II III (~ • • y Fig. 11. Symbolic representation of the scene before describing it in terms of graph-grammar On the basis of such symbolic description of the image under consideration we can also use symbolic notations for elements of vocabulary; for every image they obtain a representation in terms of terminal symbols belonging to the definition of the grammar used (see Fig.
4. A proper result ofthe semantie seareh process This is the eorrect solution even though Fig. 4. does not contain 'Vehicle' at all. In fact the general meaning of all presented images IS contained in this sentence: Now we can see, why (and because of who) a man's life can often be so short! Of course, this was only a joke (for which we apologise ... ). The issue itself, however, is quite serious because very often images seemingly very different hide in fact semantically identical contents and, vice versa, apparently very similar images can have a drastically different meaning.