Method of Processing Jianzi Images on Windows

doi:10.3969/j.issn.1000-3428.2010.05.102

Computer Engineering ›› 2010, Vol. 36 ›› Issue (5): 279-281. doi: 10.3969/j.issn.1000-3428.2010.05.102

• Developmental Research • Previous Articles Next Articles

Method of Processing Jianzi Images on Windows

ZHOU Chang-le, QI Jing-feng, ZHUANG Xiong-xiong, LV Lan-lan, GAO Song-di

(Dept. of Computer Science, Xiamen University, Xiamen 361005)

Received:1900-01-01 Revised:1900-01-01 Online:2010-03-05 Published:2010-03-05

Windows下处理减字图形的方法

周昌乐，齐京峰，庄雄雄，吕兰兰，高宋俤

(厦门大学计算机科学系，厦门 361005)

Abstract

Abstract: This paper analyzes the status quo and problem of Guqin informationization, proposes an octal Yihe code system for Jianzi, improves current method of processing Jianzi images, discusses using Enhanced Metafile(EMF) provided by 32 bit Windows operating system to help processing Jianzi images, gives a rational solution and introduces a Word plug-in to facilitate process.

Key words: Guqin, Jianzi, octal Yihe code system, Enhanced Metafile(EMF)

摘要： 分析古琴信息化的现状与存在问题，提出古琴减字的八进制意合编码系统，对现有的减字谱图形处理方法进行改进，利用32位Windows操作系统提供的增强型图元文件处理古琴减字图形，给出一个合理的解决方案，并介绍方便用户使用的相关Word插件。

关键词: 古琴, 减字, 八进制意合编码系统, 增强型图元文件

CLC Number:

TP391.41

ZHOU Chang-le; QI Jing-feng; ZHUANG Xiong-xiong; LV Lan-lan; GAO Song-di. Method of Processing Jianzi Images on Windows[J]. Computer Engineering, 2010, 36(5): 279-281.

周昌乐;齐京峰;庄雄雄;吕兰兰;高宋俤. Windows下处理减字图形的方法[J]. 计算机工程, 2010, 36(5): 279-281.

/ / Recommend / Download Citations

URL: http://www.ecice06.com/EN/10.3969/j.issn.1000-3428.2010.05.102

http://www.ecice06.com/EN/Y2010/V36/I5/279

[1]	WEI Ziwei, QU Dan, LIU Cong. Method for Person Re-identification Feature Extraction Based on Connected Attention [J]. Computer Engineering, 2022, 48(7): 220-226.
[2]	ZHANG Yexing, CHEN Min, PAN Qiuyu. Object Detection Method Based on Feature Channel Modeling [J]. Computer Engineering, 2022, 48(7): 264-269,299.
[3]	HAO Axiang, JIA Guojun. Person Re-identification Model Combining Attention and Batch Feature Erasure [J]. Computer Engineering, 2022, 48(7): 270-276,306.
[4]	CUI Yunxuan, LIU Guihua, YU Dongying, GUO Zhongyuan, ZHANG Wenkai. Lidar-Mono-Inertial SLAM System with Fusion of Point-Line Features [J]. Computer Engineering, 2022, 48(7): 254-263.
[5]	HU Xinrong, GONG Chuang, ZHANG Zili, ZHU Qiang, PENG Tao, HE Ruhan. Clothing Image Segmentation Network Based on Improved Deeplab v3+ [J]. Computer Engineering, 2022, 48(7): 284-291.
[6]	WANG Anzhi, REN Chunhong, HE Linyan, YANG Yuanying, QU Weihua. Light Field Salient Object Detection Based on Multi-modal Multi-level Feature Aggregation Network [J]. Computer Engineering, 2022, 48(7): 227-233,240.
[7]	ZHOU Peichun, WU Lan'an. Multi-Scale Multi-Kernel Gaussian Process Latent Variable Model [J]. Computer Engineering, 2021, 47(2): 285-292.
[8]	GU Li, JI Yi, LIU Chunping. Classification Method of Three-Dimensional Point Cloud Based on Multiple Modal Feature Fusion [J]. Computer Engineering, 2021, 47(2): 279-284.
[9]	WANG Lin, LI Conghui. Pedestrian Attribute Recognition Based on Multi-Level Attention Skip Connection Network [J]. Computer Engineering, 2021, 47(2): 314-320.
[10]	CHEN Yang, LI Dawei. Monocular Image Depth Understanding Based on Scene Modality Depth Understanding Network [J]. Computer Engineering, 2021, 47(2): 268-278.
[11]	ZHOU Linyong, XIE Xiaoyao, LIU Zhijie, TAN Hongwei, YOU Shanping. Image Identification Algorithm Based on ACGAN [J]. Computer Engineering, 2019, 45(10): 246-252,259.
[12]	SHI Xuan, FENG Shuting, SHEN Chuanke, LI Chen, LI Dangchao. Image Dehazing Algorithm Using Block Optimization for Transmissivity and Scene Brightness [J]. Computer Engineering, 2019, 45(9): 235-241,247.
[13]	GUAN Hongyun, OUYANG Jiangkun, YANG Yiwei, WU Wei. Improved LCT Tracking Algorithm Based on Feature Fusion [J]. Computer Engineering, 2019, 45(8): 241-247.
[14]	SHAN Liyan, LI Xinwei. Video Fingerprinting Algorithm Based on Temporal and Spatial Information Feature Fusion [J]. Computer Engineering, 2019, 45(8): 260-265,274.
[15]	CHENG Shuhong,ZHOU Bin. Recognition of Characters in Aluminum Wheel Back Cavity Based on Improved Convolution Neural Network [J]. Computer Engineering, 2019, 45(5): 182-186.

Please choose a citation manager

Content to export

Method of Processing Jianzi Images on Windows

Windows下处理减字图形的方法

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

模态框（Modal）标题

Please choose a citation manager

Content to export

Method of Processing Jianzi Images on Windows

Windows下处理减字图形的方法

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments