论文标题
一种快速的半自动方法，用于分类和计算图像中血细胞的数量和类型
A fast semi-automatic method for classification and counting the number and types of blood cells in an image
论文作者
论文摘要
提出了一种新型且快速的半自动方法，用于分割，在图像中定位和计数血细胞。在这种方法中，阈值用于将核与其他部分分开。我们还将霍夫变换用于圆圈来定位白细胞的中心。使用模板匹配进行红色单元格的定位和计数。我们利用查找本地最大值，标记和平均值计算，以便在应用Hough变换或模板匹配后缩小到单个像素作为每个区域的位置代表的区域。所提出的方法非常快，可以准确计算白色细胞的数量和位置。它还能够以较小的误差定位和计数红细胞。
A novel and fast semi-automatic method for segmentation, locating and counting blood cells in an image is proposed. In this method, thresholding is used to separate the nucleus from the other parts. We also use Hough transform for circles to locate the center of white cells. Locating and counting of red cells is performed using template matching. We make use of finding local maxima, labeling and mean value computation in order to shrink the areas obtained after applying Hough transform or template matching, to a single pixel as representative of location of each region. The proposed method is very fast and computes the number and location of white cells accurately. It is also capable of locating and counting the red cells with a small error.
