摘要
在主要面积直方图算法的基础上,分析了图像灰度连通区域的空间分布特征,并结合主要面积直方图进行图像检索,进一步提高了算法的检索性能。同时,结合人眼视觉特性,对图像的灰度进行了量化,在不降低检索性能的基础上降低了计算和时间复杂度。
A new image retrieval algorithm based on the main region's area histogram was proposed. In order to reduce the calculation and time complexity, the gray is quantized according to human vision firstly. Then, the spatial distribution of the adjacent regions with the same gray level is further analyzed and extracted as the spatial feature. Finally, the spatial feature and its main region's area are used as indexes. Experiment results show that this method is more effective in image retrieval than histogram and the main region's area histogram.
出处
《红外技术》
CSCD
北大核心
2007年第11期666-669,共4页
Infrared Technology
基金
河南省教育厅自然科学基础研究基金(2007520019)
河南理工大学博士基金(B050901)
河南理工大学骨干教师资助基金
河南省基础与前沿技术研究计划项目(072300460050)
苏州大学江苏省计算机信息处理技术重点实验室开放基金(KJS0715)