By Fumiaki Tomita, Saburo Tsuji
This e-book offers theories and methods for belief of textures via computing device. Texture is a homogeneous visible development that we understand in surfaces of items corresponding to textiles, tree barks or stones. Texture research is without doubt one of the first vital steps in machine imaginative and prescient because texture presents vital cues to acknowledge real-world gadgets. an incredible a part of the e-book is dedicated to two-dimensional research of texture styles via extracting statistical and structural good points. It additionally bargains with the shape-from-texture challenge which addresses restoration of the third-dimensional floor shapes in accordance with the geometry of projection of the outside texture to the picture aircraft. conception remains to be principally mysterious. figuring out a working laptop or computer imaginative and prescient approach that may paintings within the actual international calls for extra examine and ex periment. strength of textural conception is a key part. we are hoping this publication will give a contribution to the development of laptop imaginative and prescient towards powerful, invaluable platforms. vVe wish to convey our appreciation to Professor Takeo Kanade at Carnegie Mellon college for his encouragement and assist in scripting this publication; to the individuals of laptop imaginative and prescient part at Electrotechni cal Laboratory for delivering an exceptional study atmosphere; and to Carl W. Harris at Kluwer educational Publishers for his assist in getting ready the manuscript.
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Additional info for Computer Analysis of Visual Textures
S If • ) • . J I ,. •r -a' • ,.. ''r""' - ·~ I ~ _;. ~ 1t t' r (b) Figure 2. 1. 8: Edge direction histograms. 9: Co-occurrence of edge elements. 10: k-linearities of edge elements. 28 1. 9) indicates the linearity of texture. 7. Straw has higher linearity than lawn. 2. 9) indicates the periodicity of the texture. 3. 9) represents the size of the texture elements. 2 Peak and Valley Mitchell et al. (1977) computed the number of local extrema (peaks and valleys) of various sizes by scanning a texture image horizontally and vertically.
The following structural texture properties are extracted from the second-order statistics of edge directions. J. •. H I ,,1' ··- I • 1 ,~ • • I. - I! :· I • I I s' ,• r I s •t. I .. · I I • I •J • I I l' ·r·I . 'I . -..... , ' 1 ll :j . 1 't i 1·'·i·t. t. s i •/r' I : "a ~ • '• ~ ~· J' • f : • , • I,! I ·I·I ...... I I ,,_, • .. ,.. I - ' ).. , . _: J""'i ,. , . . -·s - _ . . -:-- •• i , . I - . r . . ttl, I. "', -·'I ~ ,,-. _ • ) , • 1: t:. •t .. - " I , ........ , . :r: . -:- '( . ,: r .
T,t - . ~· :-:.. -·,•.. ] . • • --s- - ... • •w --· ' •r , ' f •. ,: ,I i 1t••w J! :.. :: .. f t -"":,""=1.. f, l '---"\ "'"'::""' -·- · : • ... v: ~ ... J ... I t ,, • • I -· • "' ("" ·-- _, ~ "l: - ' ~ I " ' • ' .. • S If • ) • . J I ,. •r -a' • ,.. ''r""' - ·~ I ~ _;. ~ 1t t' r (b) Figure 2. 1. 8: Edge direction histograms. 9: Co-occurrence of edge elements. 10: k-linearities of edge elements. 28 1. 9) indicates the linearity of texture. 7. Straw has higher linearity than lawn. 2.
Computer Analysis of Visual Textures by Fumiaki Tomita, Saburo Tsuji