A Modified GrabCut Using a Clustering Technique to Reduce Image Noise

作者：Lee GangSeong; Lee SangHun^*; Kim GaOn^*; Park JongHun; Park YoungSoo

来源：Symmetry-Basel, 2016, 8(7): 64.

DOI：10.3390/sym8070064

• median filter
• K-means
• image clustering
• GraphCut
• GrabCut
• object segmentation

In this paper, a modified GrabCut algorithm is proposed using a clustering technique to reduce image noise. GrabCut is an image segmentation method based on GraphCut starting with a user-specified bounding box around the object to be segmented. In the modified version, the original image is filtered using the median filter to reduce noise and then the quantized image using K-means algorithm is used for the normal GrabCut method for object segmentation. This new process showed that it improved the object segmentation performance a lot and the extract segmentation result compared to the standard method.

• 出版日期2016-7