基于短程线主动轮廓线的图像多目标面积同时测量研究

提出了一种新颖的图像多目标面积的同时测量方法，它可以同时精确测量多个不同形状的图像目标面积。该方法应用了短程线主动轮廓线模型，它分为2个步骤。它首先利用水平集函数的迭代使主动轮廓线由初始位置向各个目标的轮廓边缘收敛。其次，对于收敛后的主动轮廓线，使用亚像素面积测量和计数图像目标内部像素个数，从而同时求出各个图像目标面积。实验表明该方法的测量重复性误差小于0.5% 。和传统的面积测量方法比较，这种方法具有测量效率高（同时测量多目标面积）和测量精度高的优点。

Study on Simultaneous Area Measurement for Multiple Image Objects Based on a Geodesic Active Contour

A novel scheme to the area measurement of multiple image objects is proposed. This scheme is suitable for the simultaneous and exact measurement of multiple objects’ areas with different shape. A geodesic active contour is applied and this scheme consists of two steps. Firstly, the active contour converges to the object’s contour edge from an initial position via the iteration of level set functional . Secondly, for the convergent active contour, a sub-pixel area measurement and counting the number of internal pixels of image objects are applied to compute every object’s area simultaneously. Experiments indicate this scheme’s measurement repetition error can decrease to 0.5%. Compared to conventional area measurement schemes, this scheme is highly efficient (i.e., simultaneous measurement of multiple objects’ areas) and highly accurate.