Download A Taxonomy for Texture Description and Identification by A. Ravishankar Rao PDF

By A. Ravishankar Rao

A principal factor in machine imaginative and prescient is the matter of sign to image transformation. on the subject of texture, that is a massive visible cue, this challenge has hitherto got little or no realization. This booklet offers an answer to the sign to image transformation challenge for texture. The symbolic de- scription scheme includes a singular taxonomy for textures, and relies on acceptable mathematical versions for other kinds of texture. The taxonomy classifies textures into the vast periods of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are defined by way of statistical mea- sures, strongly ordered textures through the location of primitives, and weakly ordered textures by means of an orientation box. Compositional textures are made from those 3 periods of texture by utilizing sure principles of composition. The unifying subject of this publication is to supply standardized symbolic descriptions that function a descriptive vocabulary for textures. The algorithms constructed within the publication were utilized to a wide selection of textured photos coming up in semiconductor wafer inspection, circulate visualization and lumber processing. The taxonomy for texture can function a scheme for the id and outline of floor flaws and defects taking place in quite a lot of useful applications.

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At coarser scales, the pattern begins to appear vertical. 5. - "- "" " " "/ \ "- , \ , / \ / "- / , ..... - / / / \ "- / ..... - / / / "- / / / I " "- ""- "" " "" "/ , "- ..... 9. 20. 20 on the same image. 2. Computing oriented texture fields , ", \ , " ... "1 (a) I ,, I I \ I I I I I . ~\ \ I \ ' \ 1- If, I " \ I (,I '} I I I I I , ... \", , ~ \ I I " "J ,, ,," I , " , ... ,. I , I I ,. 10. Comparing two techniques for computing the angle of orientation. 21. Note that the algorithm does not perform well on horizontally oriented patterns.

At finer scales, the pattern appears to have alternating bands, where every other band has a texture that is diagonally oriented. At coarser scales, the pattern begins to appear vertical. 5. - "- "" " " "/ \ "- , \ , / \ / "- / , ..... - / / / \ "- / ..... - / / / "- / / / I " "- ""- "" " "" "/ , "- ..... 9. 20. 20 on the same image. 2. Computing oriented texture fields , ", \ , " ... "1 (a) I ,, I I \ I I I I I . ~\ \ I \ ' \ 1- If, I " \ I (,I '} I I I I I , ... \", , ~ \ I I " "J ,, ,," I , " , ...

0 " ~\ ..... 5. 16 ) using filter sizes of 0"1 = 15 and 0"2 = 21. Unit vectors representing the estimated flow directions are superimposed on the coherence map. 5 (b), (c) and (d) has not changed even though the scale has changed significantly. 5. 6. (a) An image of flow past a circle, with estimated flow directions overlayed (Photograph courtesy D. H. Peregrine) . Filter sizes used were 0"1 = 5 and 0"2 = 7. (b) The coherence map . Filter sizes used were 0"1 = 5 and 0"2 = 7. 7. (a) An image of flow past an inclined plate, with estimated flow directions overlayed.

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