CAJ | 학술논문

随着图像数据的海量增长，图像检索效率逐渐成为研究热点。为了提高图像检索的准确率，提出了一种改进的HSV颜色空间量化方法，细化色调H的分类，使量化结果更接近人类感知，并在此基础上采用分块策略进行仿真实验。实验结果表明，提出的方法能更好地描述图像的颜色特征，效果令人满意，具有一定的实用性。
수착도상수거적해량증장，도상검색효솔축점성위연구열점。위료제고도상검색적준학솔，제출료일충개진적HSV안색공간양화방법，세화색조H적분류，사양화결과경접근인류감지，병재차기출상채용분괴책략진행방진실험。실험결과표명，제출적방법능경호지묘술도상적안색특정，효과령인만의，구유일정적실용성。
With the massive growth of images,the efficiency of image retrieval gradually becomes a research hotspot. In order to improve accuracy of the image retrieval,Hue-Saturation-Value( HSV) color space is improved,which details the classification of H hue and makes the quantitative results more close to human perception. On this basis, block color histogram is extracted as a retrieval feature. Experiments show that the proposed method can better describe color feature of images,the results are satisfactory and have some practical value.