| 一种改进Grabcut算法的彩色图像分割方法 |
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| 引用本文： | 王 告,俞申亮,巨志勇,马素萍.一种改进Grabcut算法的彩色图像分割方法[J].教育技术导刊,2019,18(6):171-175. |
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| 作者姓名： | 王 告 俞申亮 巨志勇 马素萍 |
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| 作者单位： | 1.上海理工大学 光电与计算机工程学院；2.上海海勃物流软件有限公司，上海 200093 |
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| 摘 要： | 针对传统Grabcut分割方法难以很好处理图像阴影部分及分割时间过长的问题，提出结合K-means聚类算法与Grabcut函数的方法改善以上问题。该方法通过直方图均衡化实现图像增强，然后利用K-means算法以二分类的形式对像素进行聚类，利用形态学处理填充孔洞，自动获取目标物体轮廓后，结合Grabcut算法实现图像二次分割，最后利用颜色判定改善图像阴影部分。实验结果表明，该方法可实现图像自动分割、节省大量时间，而且对阴影部分图像处理有明显改善，具有较高的准确性和高效性。
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| 关 键 词： | K-means聚类算法 Grabcut函数 图像分割 直方图均衡化 颜色判定 |
| 收稿时间： | 2018-10-18 |
An Improved Grabcut Algorithm for Color Image Segmentation |
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| WANG Gao,YU Shen-liang,JU Zhi-yong,MA Su-ping.An Improved Grabcut Algorithm for Color Image Segmentation[J].Introduction of Educational Technology,2019,18(6):171-175. |
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| Authors: | WANG Gao YU Shen-liang JU Zhi-yong MA Su-ping |
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| Institution: | 1. College of Photo-electricity and Computer Engineering， Shanghai University of Technology；2. Shanghai Harbor e-Logistics Software Co.， Ltd.，Shanghai 200093，China |
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| Abstract: | The traditional Grabcut segmentation method is unable to deal with some shadows and the segmentation time is too long. Aiming at these problems， the paper puts forward the combination of K means clustering algorithm and Grabcut function. The method realizes image enhancement by histogram equalization， then it uses the K-means algorithm to cluster the pixels in the form of two classifications， fills the holes with morphological processing， automatically obtains the contour of the target object， and combines Grabcut algorithm to realize image quadratic segmentation. Finally， color determination is used to improve the shadow portion of the image. Experimental results show that this method can automatically segment images and save a lot of time. It also improves the shadow images significantly and has high accuracy and efficiency. |
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| Keywords: | K-means clustering algorithm Grabcut functions image segmentation histogram equalization color judgement |
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