摘要
提出了一种根据图像内容动态提取纹理基元并对纹理基元提取特征的图像检索算法.首先,对图像进行LBP变换,根据LBP值呈现的周期确定纹理基元的初始大小;其次,通过逐像素点对比调整纹理基元窗口,最终确定纹理基元;最后,对纹理基元提取特征计算图像内容相似度.实验结果显示,在检索具有重复纹理基元的图像时,使用提出的方法得出的检索效果优于已有的基于整幅图像的检索方法.
This paper proposed an algorithm to extract texture primitive dynamically according to image itself and then get features from texture primitive to retrieval images. Firstly, do LBP transform on images, and set LBP value cycle as texture primitive initial size; then, adjust texture primitive window pixel by pixel to get final texture primitive size; last, calculate image content similarity by features extracting from texture primitive. Experimental results show that the proposed retrieval method has great performance compared with the existing method which is based on whole images in retrieving images with repetitive texture primitive.
出处
《微电子学与计算机》
CSCD
北大核心
2016年第3期25-31,36,共8页
Microelectronics & Computer
基金
国家自然科学基金项目(61271304)
北京市教委科技发展计划重点项目暨北京市自然科学基金B类重点项目(KZ201311232037)
网络文化与数字传播北京市重点实验室开放课题(ICDD201405)
北京市属高等学校创新团队建设与教师职业发展计划项目(IDHT20130519)
