基于模糊形态学的图像边缘轮廓提取分割算法(英文)

Segmentation Algorithm of Contour Extraction for Image Edge Based on Fuzzy Morphology

针对噪声等影响导致的图像易产生过分割现象的问题,探讨了一种基于模糊形态学的图像分割算法。该方法首先借助模糊形态学的开、闭运算对图像作平滑处理,然后基于形态学梯度算子进行梯度计算,最后基于模糊形态学,对梯度图像进行分割得到要分割的图像。仿真以图像识别为例。结果表明:基于模糊形态学的图像分割算法可较好地消除过分割现象,正确识别图像,实现目标与背景的分离。研究结果表明提出的图像分割算法是合理可行的。

There is extensive application of contour extraction for image edge in the aspect of in-dustrial nondestructive testing,assembly and testing of complex parts.Aimed at being easy to produce over-segmentation of remote sensing image resulted in the impact of noise etc,the pa-per explored an algorithm for segmentation of remote sensing image in crops based on fuzzy morphology.By means of open and closed operation of fuzzy morphology,the method first makes smooth processing for the image,then execute the gradient calculation based on morpho-logical gradient operator,and final y based on fuzzy morphology,and it carries though the seg-mentation for the gradient image and achieves the image to be segmented.The simulation took the image recognition as an example,and the experiment demonstrated that the image segmen-tation algorithm based on fuzzy morphology can effectively eliminate the over-segmentation phe-nomenon,distinguish the image correctly,and realize the separation of target and background. The research result shows the proposed mage segmentation algorithm is reasonable and feasi-ble.