检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:李凤坤 张永[2] LI Fengkun;ZHANG Yong(School of Intelligence&Electronic Engineering,Dalian Neusoft University of Information,Dalian 116023,China;Research Institute,Dalian Neusoft University of Information,Dalian 116023,China)
机构地区:[1]大连东软信息学院智能与电子工程学院,大连100063 [2]大连东软信息学院研究院,大连100063
出 处:《微处理机》2024年第3期35-38,共4页Microprocessors
基 金:辽宁省博士启动基金(20170520398)。
摘 要:为降低实时图像识别中去背景方法的计算复杂度以提升用户体验,基于通道运算,提出一种轻量级的去背景方法。研究围绕通道运算的概念和相关性质,利用彩色图片各通道之间的关系,通过简单算术、关系运算即可实现目标像素点的选择,避免使用空间距离公式、梯度等较为复杂的计算形式,有效降低了计算复杂度。理论与实验结果均表明,在前景主色调单一的应用场景下,该方法能够在较低的计算复杂度下选取目标像素,高效地实现去背景,在与图片处理相关的实时智能应用中,有助于提高用户体验。To enhance user experience by reducing the computational complexity of background removal methods in real-time image recognition,a lightweight background removal method based on channel calculations is proposed.The study revolves around the concept and related properties of channel calculations.By utilizing the relationship between the channels of a color image,the selection of target pixels can be achieved through simple arithmetic and relational calculations,avoiding the use of more complex computational forms such as spatial distance formulas and gradients.This effectively reduces computational complexity.Both theoretical and experimental results demonstrate that under application scenarios where the foreground main color is single,the proposed method can select target pixels with low computational complexity and efficiently achieve background removal.This can contribute to improving user experience in real-time intelligent applications related to image processing.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49