This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. ...This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. In our procedure, an operator is employed in using color features. According to their histogram distribution of hue component in HSL color space after enhancing the contrast of image in RGB color space, the threshold of segmentation between leukocyte and erythrocyte could be achieved well. Especially, this algorithm is more efficient than monochrome for leukocyte segmentation, and the results of experiments show that it provides a good tool for cytological image, which can increase accuracy of segmentation of leukocyte.展开更多
特征点算法在图像处理领域有着重要的作用,ORB(Oriented FAST and Rotated BRIEF)特征点提取算法因具有旋转不变性、计算速度快等优点,被广泛使用。传统的ORB特征点算法在光照变换的场景中极易无法检测到特征点,且运行时间还是无法满足...特征点算法在图像处理领域有着重要的作用,ORB(Oriented FAST and Rotated BRIEF)特征点提取算法因具有旋转不变性、计算速度快等优点,被广泛使用。传统的ORB特征点算法在光照变换的场景中极易无法检测到特征点,且运行时间还是无法满足强实时系统。论文依据ORB特征点算法原理,使用减少检测区域面积、优化检测流程、优化三角函数求解、动态灰度阈值等方法,对原有的ORB算法进行改进,在提升ORB特征点检测算法速度的同时,提高ORB特征点检测算法在不同光照下的适用性。最后通过实验证明,改进后的ORB算法相比于OpenCV库中算法平均用时更少,且在亮度变化的场景中也可以提取到较多的特征点。改进后的算法可以更合适在视觉SLAM(Simultaneous Localization and Mapping)等实时性强,且使用环境光照易变换的系统中使用。展开更多
文摘This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. In our procedure, an operator is employed in using color features. According to their histogram distribution of hue component in HSL color space after enhancing the contrast of image in RGB color space, the threshold of segmentation between leukocyte and erythrocyte could be achieved well. Especially, this algorithm is more efficient than monochrome for leukocyte segmentation, and the results of experiments show that it provides a good tool for cytological image, which can increase accuracy of segmentation of leukocyte.
文摘特征点算法在图像处理领域有着重要的作用,ORB(Oriented FAST and Rotated BRIEF)特征点提取算法因具有旋转不变性、计算速度快等优点,被广泛使用。传统的ORB特征点算法在光照变换的场景中极易无法检测到特征点,且运行时间还是无法满足强实时系统。论文依据ORB特征点算法原理,使用减少检测区域面积、优化检测流程、优化三角函数求解、动态灰度阈值等方法,对原有的ORB算法进行改进,在提升ORB特征点检测算法速度的同时,提高ORB特征点检测算法在不同光照下的适用性。最后通过实验证明,改进后的ORB算法相比于OpenCV库中算法平均用时更少,且在亮度变化的场景中也可以提取到较多的特征点。改进后的算法可以更合适在视觉SLAM(Simultaneous Localization and Mapping)等实时性强,且使用环境光照易变换的系统中使用。
