Image segmentation based on multilevel thresholding using firefly algorithm

M. Sridevi
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引用次数: 5

Abstract

Image segmentation involves identifying the distinct objects present in an image based on the properties such as intensity, color, texture etc. There are many image segmentation techniques namely, edge, threshold and region based developed since the past three decades. Thresholding is one such technique which generates a number of threshold values, which can be used to segment the image. Determining the optimal number of thresholds and their values is still a challenging problem. A method using firefly algorithm an optimization technique is proposed in this paper to determine the optimal threshold number and values for performing segmentation process. From the experimental results, it is inferred that the proposed method provides better segmented image.
基于萤火虫算法的多级阈值图像分割
图像分割涉及到根据亮度、颜色、纹理等属性来识别图像中存在的不同物体。近三十年来出现了基于边缘、阈值和区域的图像分割技术。阈值分割就是这样一种技术,它可以产生许多阈值,这些阈值可以用来分割图像。确定阈值的最佳数量及其值仍然是一个具有挑战性的问题。本文提出了一种利用萤火虫算法和优化技术确定分割过程中最优阈值的方法。实验结果表明,该方法能较好地分割图像。
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