Aspekte der Informationsverarbeitung pp 112-165 | Cite as
Das visuelle System als Merkmalfilter
Feature Detection by the Visual System
Summery
The visual system is considered as an information processing system where the information processing task may consist in the localization and recognition of objects in the 3-dimensional physical world. After some definitions concerning terms like physical world and its projection, image,feature, and segmentation the processing in the first stages of the visual system (low-level vision) is discussed. A computational theory of retinal filtering is presented and related to the anatomy and physiology of the retina as well as to psychophysical results suggesting that a spatial-frequency filtering is performed in the human visual system. Furthermore neurophysiological and psycho-physical data suggest that the segmentation is the next stage after retinal processing. Here surface elements are extracted which follow from motion, texture, or the depth of objects (Stereopsis) relative to the observer. Some results of our simulation of low-level vision (retina, primary visual cortex) are presented for natural images. Particularly these results are related to the extraction of contour points, and edges for the reconstruction of the original gray values and the description of forms, and to the evaluation of statistical parameters for the description of textures in different spatial-frequency domains.
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Literatur
- /1/.J. Lettvin, H. Maturana, W. McCulloch und W. Pitts (1959): What the frog’s eye tells the frog’s brain. Proc. IRE, 47, 1940–1951.CrossRefGoogle Scholar
- /2/.Ch. von der Malsburg und J. Cowan (1982): Outline of a theory for the ontogenesis of isoorientation domains in visual cortex. Biol. Cybern. 45, 59–66.CrossRefGoogle Scholar
- /3/.H.-H. Nagel (1979): Über die Repräsentation von Wissen zur Auswertung von Bildern. In “Angewandte Szenenanalyse”, J. Foith (Ed.), Informatik-Fachberichte 20, Springer-Verlag, Berlin, Heidelberg, 5. 3–21.Google Scholar
- /4/.D. Marr (1982): Vision. W.H. Freeman and Comp., San Francisco.Google Scholar
- /5/.W. Prinz: Wahrnehmung und Tätigkeitssteuerung. Springer-Verlag, Berlin, Heidelberg, 1983.CrossRefGoogle Scholar
- /6/.B. Cleland und W. Levick (1974): Brisk and sluggish concentrically organized ganglion cells in the cat’s retina. Physiol. 240, 421–456.Google Scholar
- /7/.H. Wässle, B. Boycott und R. Illing (1981): Morphology and mosaic of on-and off-beta cells in the cat retina and some functional considerations. Proc. R. Soc. London, B 212, 177–195.CrossRefGoogle Scholar
- /8/.H. Wässle, L. Peichl und B. Boycott (1981): Morphology and topography of on-and off-alpha cells in the cat retina. Proc. R. Soc. London, B 212, 157–175.CrossRefGoogle Scholar
- /9/.R. Rodieck (1965): Quantitative analysis of cat retinal ganglion cell response to visual stimuli. Vision Res. 5, 583–601.CrossRefGoogle Scholar
- /10/.W. von Seelen (1968): Informationsverarbeitung in homogenen Netzen von Neuronenmodellen. Kybernetik 5, 133–148.CrossRefMATHGoogle Scholar
- /11/.A. Korn und W. von Seelen (1972): Dynamische Eigenschaften von Nervennetzen im visuellen System. Kybernetik 10, 64–77.CrossRefMATHGoogle Scholar
- /12/.W. Geuen (1983): Konturlinienfindung auf der Basis des visuellen Konturempfindens. Dissertation an der Fakultät für Maschinenwesen der Universität Hannover.Google Scholar
- /13/.D. Marr und E. Hildreth (1980): Theory of edge detection. Proc. R. Soc. London B 207, 187–217.CrossRefGoogle Scholar
- /14/.H. Wilson und J. Bergen (1979): A four mechanism modul for threshold spatial vision. Vision Res. 19, 19–32.CrossRefGoogle Scholar
- /15/.H. Wässle: Untersuchungen zur Physiologie der Sehschärfe. Dissertation, Fakultät für Physik der Ludwig-Maximilians-Universität zu München, Nov. 1971.Google Scholar
- /16/.D. Marr, T. Poggio und E. Hildreth (1980): Smallest channel in early humman vision. J. Opt. Soc. Am. 70, 868–870.CrossRefGoogle Scholar
- /17/.G. Hauske, U. Lupp, and W. Wolff: Matched Filters–A New Concept in Vision. Photographic Science and Engineering 22, 1978, 59–64.Google Scholar
- /18/.T. Poggio, V. Torre: Ill-Posed Problems and Regularization Analysis in Early Vision. Memo Nr. 773 des AI.Lab. im M.I.T., April 1984.Google Scholar
- /19/.D. Hubel, T. Wiesel und M. Stryker (1978): Anatomical demonstration of orientation columns in Macaque monkey. Comparative Neurology 177, 361–380.CrossRefGoogle Scholar
- /20/.S.E. Palmer: The Psychology of Perceptual Organization: A Transformational Approach. In “Human and Machine Vision”, J. Beck, B. Hope, A. Rosenfeld (Eds.), Academic Press, New York, London, 1983, 269–339.Google Scholar
- /21/.John P. Frisby: Seeing, Illusion, Brain and Mind. Oxford University Press, Oxford, 1979.Google Scholar
- /22/.W. Richards und A. Polit (1974): Texture matching.Kybernetik 16, 155–162.CrossRefGoogle Scholar
- /23/.B. Julesz (1981): Textons, the elements of texture perception, and their interactions. Nature 290, 91–97.CrossRefGoogle Scholar
- /24/.A. Treisman: Perceptual Grouping and Attention in Visual Search for Features and for Objects. J. Experimental Psychology: Human Perception and Performance 8, 1982, 194–214.CrossRefGoogle Scholar
- /25/.J.F. Canny: Finding Edges and Lines in Images. Technical Report No. 720 aus dem AI.Lab. im M.I.T., Juni 1983.Google Scholar
- /26/.P. Brodatz (1966): Textures. Dover Publications, New York.Google Scholar