CAJ | 학술논문

根据对细胞轮廓结构的分析，提出了描述细胞轮廓特征的稀疏轮廓点模型。该模型将细胞轮廓划分为强轮廓和弱轮廓2部分，并用一系列稀疏的轮廓点来近似表示细胞轮廓。在该模型的基础上，算法综合了彩色图像处理与灰度图像处理的方法，首先提取细胞与背景交界处的强轮廓作为基准轮廓。然后提出了一种环形动态轮廓搜索算法，沿着基准轮廓搜索位于重叠细胞区域的弱轮廓。经过轮廓搜索算法获得细胞的稀疏轮廓点组成初始轮廓，采用 GVF（gradient vector flow ） Snake 模型进行细胞的精确分割。通过对2个细胞图像数据集的图像样本进行的分割实验验证了算法对于分割单细胞图像、同种颜色重叠细胞图像和不同颜色重叠细胞图像的准确性。
근거대세포륜곽결구적분석，제출료묘술세포륜곽특정적희소륜곽점모형。해모형장세포륜곽화분위강륜곽화약륜곽2부분，병용일계렬희소적륜곽점래근사표시세포륜곽。재해모형적기출상，산법종합료채색도상처리여회도도상처리적방법，수선제취세포여배경교계처적강륜곽작위기준륜곽。연후제출료일충배형동태륜곽수색산법，연착기준륜곽수색위우중첩세포구역적약륜곽。경과륜곽수색산법획득세포적희소륜곽점조성초시륜곽，채용 GVF（gradient vector flow ） Snake 모형진행세포적정학분할。통과대2개세포도상수거집적도상양본진행적분할실험험증료산법대우분할단세포도상、동충안색중첩세포도상화불동안색중첩세포도상적준학성。
Based on the analysis of cell contour structure ,a sparse contour point model ,which can describe the characteristics of the cell contour ,is proposed in this paper .In the sparse contour point model ,cell contour is divided into 2 parts ,namely light contour and dark contour ,respectively ;and then the cell contour is approximately described as a set of sparse contour points .Based on this model ,the color and grayscale image segmentation techniques are combined to locate the basic contour ,which lies between the cell and the background .Then ,a circular dynamic contour searching method is proposed to search for the dark contour that lies in the overlapping cell region along the basic contour .Contour points located by the searching method are arranged to construct the initial contour of the gradient vector flow (GVF) Snake model .Then the GVF Snake model is performed to obtain the final accurate segmentation result of the cell image .Various cell images containing single cell ,overlapping cells of similar colors and overlapping cells of different colors have been tested to show the validity and effectiveness of the proposed method .The proposed techniques are useful for the development of automatic cervical cell image analysis systems .