[1]高先科,徐蓼芫*,徐平华,等.基于形态变换的帽饰图案的适应性[J].服装学报,2016,1(04):381-386.
　GAO Xianke,XU Liaoyuan*,XU Pinghua,et al.Adaptability of Headwear Pattern Based on Morphology Transformation[J].Journal of Clothing Research,2016,1(04):381-386.
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基于形态变换的帽饰图案的适应性()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第1卷
期数:
2016年04期
页码:
381-386
栏目:
服装信息技术
出版日期:
2016-08-29

文章信息/Info

Title:
Adaptability of Headwear Pattern Based on Morphology Transformation
作者:
高先科;  徐蓼芫*;  徐平华;  周 佳
南通大学 纺织服装学院，江苏 南通 226019
Author(s):
GAO Xianke; XU Liaoyuan*; XU Pinghua; ZHOU Jia*
School of Textile and Clothing,Nantong University,Nantong 226019,China
分类号:
TS 941.7
文献标志码:
A
摘要:
从帽身与帽沿的需求出发，利用图像形态变换实现帽饰图案的变形与对位。阐述了扇形几何形态变换的原理，利用直角坐标与极坐标的坐标转换关系实现图像像素点位置的匹配；分别从彩色图像的RGB 3个通道对图像形态进行变换，形成多通道扇形灰度图；在此基础上，将多幅灰度图像再合成真彩色图像，最终实现彩色图案在样板间弧线联接处的准确对位。此研究有利于提升传统纹样设计、加工效率和外观效果，为纺织品的快速化生产提供技术支持。
Abstract:
From the requirements of the hat body and the brim of the hat, the deformation and alignment of the hat pattern is achieved by the image morphological transform. The principle of pattern shape rectangle and fan shape transformation is expound. By using the coordinate transformation between Cartesian coordinates and polar coordinates to match the pixels and image position and the three-color RGB image channel to transform the image morphology, a multi-channel sector gray scale image is formed. Based on this, the true color images are combined by a number of multi-channel sector gray scale images, and finally the accurate alignment in the link of the arc between the true color images and the template is realized. The research is beneficial to improve the processing efficiency and appearance of traditional pattern design, and to provide technical support for the rapid production of textiles.

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更新日期/Last Update: 2016-08-30