国家自然科学基金(61163019)
国家自然科学基金(61540062)
国家自然科学基金(61662087)
国家自然科学基金(61462093)
云南省应用基础研究重点项目(2014FA021)
云南省教育厅科学研究基金产业化培育项目(2016CYH03)
云南省杰出(优秀)青年培育项目łinebreak(2018YDJQ016)
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Figure 1
(Color online) Batik and it's visual characteristics. (a) Dai girl of batik in Yunnan; (b) visual characteristics of batik cracks; (c) visual characteristics of batik cloth
Figure 2
(Color online) Generation flow of batik cracks
Figure 3
(Color onine) Influence of new crack on distance
Figure 4
(Color online) Method of getting next point and crack result. (a) Method of getting next point; (b) initial batik cracks; (c) cracks after treatment
Figure 5
(Color online) Reason of too wide about crack line. (a) Normal line; (b) defective line
Figure 6
(Color online) Influence of parameters to cracks. (a) Parameter of density; (b) reference width; (c) parameter of wiggle
Figure 7
(Color online) Relationship of plr value and intersection. (a) plr = 0.1; (b) plr = 1; (c) plr = 1.3
Figure 8
(Color online) Batik cloth model. (a) Three-layer model of cloth; (b) warp and weft; (c) overlapping of warp and weft
Figure 9
(Color online) Adjacency coefficient
Figure 10
(Color online) Rectangular weave and its simulation. (a) Magnifying cloth; (b) ellipse model of cloth
Figure 11
(Color online) Execution time comparison of two algorithms. (a) Curve of FIT; (b) time complexity comparison
Figure 12
(Color online) Two results of batik cracks rendering. (a) Simulating pattern of bowl; (b) simulating pattern of rooster
Figure 13
(Color online) Different dyeing results of same pattern
Figure 14
(Color online) Influence of wave length and persistance on dyeing. (a) Wavelength is 8; (b) wavelength is 64; (c) persistence is 0.2; (d) persistence is 0.8
Figure 15
(Color online) Comparison of dyeing results. (a) Simulation of tie dye in Japan; (b) our result
Initialize, age of the newest crack $c$ is recorded as $\lambda~(c)$, and all points in $c$ are pushed into FIFO queue qu. |
Dequeue $p$, $p~=~{\rm~pop}(~{\rm~qu}~)$; |
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$D(n)~=~D(p)~+~|~{n~-~p}~|$; $\backslash\backslash$$N(p)$ is the adjacent point of $p$ |
$\lambda~(n)~=~\lambda~(p)$; |
enqueue $n$; |
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Stop. |
Initial point is generated with parameter of $\rho~(p)$ and using random method. From initial point, the seed point which has maximum local distance is searched; |
From seed point, crack is generated follow gradient and opposite direction, and generating is stopped when meets one old crack; |
Shape is modified and parameters are recorded, and noises are added with parameter of $w(p)$. |
