Improved Minkowsky Metric for Image Region Partition

I. Pirnog, C. Oprea, C. Paleologu, D. Vizireanu
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引用次数: 2

Abstract

In this paper we present an improved method for image partition. Image partition plays an important role in video segmentation techniques; it uses different region growth algorithms for separating an image into regions and objects. This enhances the characterization on an image using video descriptors and can be used in image retrieval or image comparison applications. The proposed segmentation method uses the Minkowsky metric for region detection. In addition, it uses different threshold values in order to achieve perceptually significant areas. The simulation results indicate good performances of the proposed method for colour image segmentation.
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图像区域划分的改进Minkowsky度量
本文提出了一种改进的图像分割方法。图像分割在视频分割技术中占有重要地位;它使用不同的区域增长算法将图像划分为区域和对象。这增强了使用视频描述符对图像的表征,可用于图像检索或图像比较应用。本文提出的分割方法使用Minkowsky度量进行区域检测。此外,它使用不同的阈值,以实现感知显著区域。仿真结果表明,该方法具有良好的彩色图像分割效果。
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