Watershed Algorithm Based on Modified Filter and Marker-Extraction
Watershed Algorithm Based on Modified Filter and Marker-Extraction
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发表时间：
2011
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通讯作者：
Song Hao
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作者：
Song Hao
针对彩色图像分割中的过分割问题，提出了一种改进的基于标记提取的分水岭算法，该算法由平滑滤波、颜色梯度计算、标记提取和分水岭变换组成，在平滑滤波过程中，设计了一种新的频谱包络滤波器，该滤波器具有更好的边缘检测性能，该方法首先对输入的彩色图像和梯度图像进行保色平滑，在颜色矢量空间中计算颜色梯度，在标记提取过程中，首先利用H-极小变换在平滑后的梯度图像中提取最小标记，其参数由局部极小区域的深度信息自适应控制，然后利用更多局部极小区域的信息更新提取的极小标记，最后，更新的最小值-对原始梯度图像进行标记，得到标记梯度，对标记梯度进行分水岭变换，得到最终结果，实验结果表明，改进后的算法克服了精确边缘提取和弱边缘检测的困难，参数初始化规则更合理，适应性更强。
A modified marker-extraction based watershed algorithm was proposed in this paper to deal with the over-segmentation during color image segmentation.The modified algorithm was constituted of smooth filtering,color gradient calculation,marker-extraction and watershed transformation.During smooth filtering,a novel spectrum envelope filter was designed.The new filter had a better performance on edge-preserving which was used to smooth the imported color image and gradient image.The color gradient was calculated right in the color vector space.During the course of marker-extraction,H-minima transformation was used to extract minima-marker in smoothed gradient image firstly,whose parameter was adaptively controlled by the depth information of local minima region.Then,the extracted minima-marker was updated by more information of local minima region.Finally,the updated minima-marker was imposed on the original gradient image to get the marked gradient.The final result was gotten from the watershed transformation on the marked gradient.The experimental results indicate that the modified algorithm overcomes the difficulties in getting accurate edges and detecting weak edges.Furthermore,it has a more reasonable initialization rule of parameters and a better adaptability.