基于智慧学习的数字绘画系统设计  被引量:1

Design of digital painting system based on intelligent learning

在线阅读下载全文

作  者:于若溪 郭可义[1] 刘凯旋 YU Ruoxi;GUO Keyi;LIU Kaixuan(Xi’an Polytechnic University,Xi’an 710048,China)

机构地区:[1]西安工程大学,陕西西安710048

出  处:《现代电子技术》2021年第16期165-169,共5页Modern Electronics Technique

基  金:国家自然科学基金项目(61806161);陕西省自然科学基金项目(2019JQ-848);2020年陕西省社科界重大理论与现实问题研究项目(2020Z160)。

摘  要:数字绘画系统在转换黑白线条为彩色时,存在一定的延迟,导致绘画系统的响应时间过长。针对该不足,设计一种基于智慧学习的数字绘画系统。设计数字化显示控制硬件,连接显示屏构成绘画板,设计硬件连接电路。根据不同指令信号的能量数值设定绘画彩色转换形式,编写颜色转换抑制代码,控制代码转换过程产生的延迟,构建绘画操作推荐函数,在系统内实现软件智慧学习的功能。连接绘画系统硬件,获取不同绘画指令的数据,搭建测试环境,分别使用两种传统绘画系统与文中研究的绘画系统进行实验,结果表明,文中设计的绘画系统响应时间最短。When the digital painting system is used to convert the black and white lines to color,there is a certain delay,resulting in the response time of the painting system is too long.In view of this deficiency,a digital painting system based on intelligent learning is designed.In the hardware part,the digital display control hardware is designed,the display screen is connected to form a drawing board,and the hardware connection circuit is designed.In the software part,the painting color conversion form is set according to the energy values of different instruction signals,a color conversion suppression code is compiled to control the delay in the code conversion process,and a painting operation recommendation function is constructed to realize the software intelligent learning function in the system,in which the hardware of the painting system is connected to obtain the data of different painting instructions.The test environment was built to carry out experiments,in which two traditional painting systems and the painting system studied in this paper were used respectively.The results show that the response time of the painting system designed in this paper is the shortest.

关 键 词:数字绘画系统 智慧学习 绘画板构成 电路设计 彩色转换 代码编写 指令数据获取 

分 类 号:TN915.9-34[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象