基于椭圆重叠区域的蚕茧图像融合方法

doi:10.13475/j.fzxb.20210601707

纺织学报 ›› 2022, Vol. 43 ›› Issue (09): 82-88.doi: 10.13475/j.fzxb.20210601707

基于椭圆重叠区域的蚕茧图像融合方法

孙卫红¹^,²(), 黎雨¹^,², 梁曼¹^,², 邵铁锋¹^,², 高明辉³

1.中国计量大学机电工程学院, 浙江杭州 310018
2.中国计量大学茧丝绸质量检测技术研究所,浙江杭州 310018
3.泰安市纺织纤维检验所, 山东泰安 217000

收稿日期:2021-06-07 修回日期:2022-04-25 出版日期:2022-09-15 发布日期:2022-09-26
作者简介:孙卫红(1969—),男,教授,博士。主要研究方向为数字化设计与制造、制造业信息化。E-mail: whsun@cjlu.edu.cn。
基金资助:
中国纤维质量监测中心项目(OITC-G190281374);国家市场监督管理总局科技计划项目(2019MK149);浙江省公益技术应用研究项目(LGG20E50014);江西省市场监管局科技项目(GSJK201902)

Cocoon image fusion method based on ellipse overlapping area

SUN Weihong¹^,²(), LI Yu¹^,², LIANG Man¹^,², SHAO Tiefeng¹^,², GAO Minghui³

1. College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
2. Cocoon and Silk Quality Inspection Technology Institute, China Jiliang University, Hangzhou, Zhejiang 310018, China
3. Taian Textile Fiber Inspection Institute, Taian, Shandong 217000, China

Received:2021-06-07 Revised:2022-04-25 Published:2022-09-15 Online:2022-09-26

摘要/Abstract

摘要：

针对现有线性权值分配方法对蚕茧图像进行融合时会在高纬度区域出现蚕茧边缘分界线的问题,提出一种基于椭圆重叠区域的蚕茧图像融合方法。首先,利用最小二乘拟合算法得到待拼接图像中蚕茧表面的等效椭圆,输出其在该图像坐标下的位置方程;再根据图像配准过程中得到的横、纵轴位移距离建立蚕茧图像融合的数学模型,获取等效椭圆重叠区域的点集;最后通过椭圆重叠区域的最大宽建立改进的三角函数权重算法,对椭圆重叠区域进行融合处理。结果表明:该方法的融合效果比渐入渐出算法和三角函数权重算法更优,能够有效消除蚕茧边缘分界线,得到具有良好视觉效果且包含更多信息量的蚕茧融合图像。

关键词: 图像配准, 等效椭圆, 重叠区域, 三角函数权重, 融合处理, 蚕茧图像, 蚕茧质量

Abstract:

Aiming at the appearance of boundary lines of the cocoon in the high latitude area when using the existing linear weight assignment method to fuse cocoon images, a cocoon image fusion method based on elliptical overlapping area was proposed. The equivalent ellipse of the cocoon surface in the image to be spliced was obtained by using the least squares fitting algorithm, and its position equation in the image coordinates was output. A mathematical model of cocoon image fusion was then established according to the displacement along the horizontal and vertical axes obtained in the image registration process, and the point set of the overlapping area of the equivalent ellipse was obtained. An improved trigonometric function weight algorithm was established through the maximum width of the ellipse overlapping area to fuse the ellipse overlapping area. The experimental results show that the fusion effect of this method is better than the fading in and out algorithms and trigonometric function weight algorithms, which can effectively eliminate the boundary line of the cocoon, and obtain a cocoon fusion image with good visual effect and more information.

Key words: image registration, equivalent ellipse, overlapping area, trigonometric function weight, fusion processing, cocoon image, cocoon quality

中图分类号:

TP391

孙卫红, 黎雨, 梁曼, 邵铁锋, 高明辉. 基于椭圆重叠区域的蚕茧图像融合方法[J]. 纺织学报, 2022, 43(09): 82-88.

SUN Weihong, LI Yu, LIANG Man, SHAO Tiefeng, GAO Minghui. Cocoon image fusion method based on ellipse overlapping area[J]. Journal of Textile Research, 2022, 43(09): 82-88.

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蚕茧图像组别	算法名称	信息熵	平均梯度	空间频率	标准差	互信息
1	渐入渐出算法	6.07	3.97	18.94	72.82	4.400 6
	三角函数权重算法	6.10	4.12	20.37	74.11	4.454 3
	本文方法	6.12	3.99	19.58	75.30	4.482 8
2	渐入渐出算法	5.95	4.05	19.30	71.11	3.883 4
	三角函数权重算法	5.93	4.16	20.01	72.63	3.887 6
	本文方法	5.96	4.21	19.72	74.25	3.894 5
相比渐入渐出算法提高百分比/%		0.50	2.23	2.78	3.92	2.15
相比三角函数权重算法提高百分比/%		0.42	-0.98	-2.67	1.92	0.82

基于椭圆重叠区域的蚕茧图像融合方法

Cocoon image fusion method based on ellipse overlapping area

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