CAJ | 학술논문

通过研究图像分割算法的原理和实验对比，可以发现标记分水岭分割方法是以边缘特性为基础，通过设置光谱特征标记来分割图像，其分割结果边缘精度高，但是仍然存在较为严重的过分割和欠分割情况。而mean shift分割方法和eCognition分割方法是以光谱特征为分割依据的分割方法，虽然它们分割结果的过分割和欠分割情况较少，但是分割对象的边缘精度较差。分析以上存在的问题后，通过融合边缘特征和区域特征，并且依据一定的特征来选择种子点，尽量避免种子点选择在边缘区，从而实现提高图像分割的效果。通过实验取得了好的分割效果，说明改进的图像分割方法是可行的。
통과연구도상분할산법적원리화실험대비，가이발현표기분수령분할방법시이변연특성위기출，통과설치광보특정표기래분할도상，기분할결과변연정도고，단시잉연존재교위엄중적과분할화흠분할정황。이mean shift분할방법화eCognition분할방법시이광보특정위분할의거적분할방법，수연타문분할결과적과분할화흠분할정황교소，단시분할대상적변연정도교차。분석이상존재적문제후，통과융합변연특정화구역특정，병차의거일정적특정래선택충자점，진량피면충자점선택재변연구，종이실현제고도상분할적효과。통과실험취득료호적분할효과，설명개진적도상분할방법시가행적。
By analysing their principles and experiment contracts,we can find that the marker controlled watershed segmentation is an edge-based segmentation method,it segments the image by setting the spectral feature marker and has high edge precision in segmentation result,but still has a lot of over-segmentation and under-segmentation situations.As the segmentation methods based on spectral feature,the mean shift segmentation method and the eCognition segmentation method have less over-segmentation and under-segmentation situations in segmentation results,but the edge precision of segmenting objects is poorer.With the analysis on the problems above,in this paper we select the seed points according to certain features through fusing the edge features and regional features,and do best to avoid the seed points to be chosen near the edges,so as to improve the image segmentation effects.Better result is also obtained through the experiment,this proves that the improved segmentation method is feasible.