一种基于滤波的分段点乘图像分割算法

An algorithm of piecewise point multiplication for image segmentation based on filtering

图像分割的对图像识别、分析与理解具有重要的作用。文中针对含有噪声的图像,提出了一种分段点乘的图像分割算法。具体方法是首先根据灰度直方图确定图像的多灰度区域,然后实施分段点乘运算,使得图像中暗的部分更暗、亮的部分更亮,提高了目标和背景的对比度,突显了目标。最后用Canny算子进行边缘线分割,得到了较好的分割效果。该方法思路清晰,容易实现,具有较强的实用价值。

Image segmentation is important to image recognition, analysis and understanding. For noisy image, the paper presents a subsection point multiplication method for gray image. Firstly, the multi gray regions of the image are determined according to the gray level histogram. Then the piecewise point multiplications are implemented, the piecewise point multiplication make the dark gray value becoming darker and the bright gray value becoming brighter, improve the contrast between the target and the background, and highlight the target. At last, the Canny operator is used to segment the edge line and a good result is obtained. The method is clear and easy to implement, and has a strong practical value.