In this paper, a new well-organized fusion-based 3D Otsu energy thresholding prototypical for multilevel color image segmentation by means of lightning search algorithm (LSA) has been projected. Although, 3D Otsu works by means of between-class variances over the help of 3-D histogram but the performance is not satisfactory. As a result, the energy curve model is implemented, that works on contextual information of an image. However, using the concept of energy curve for 3D Otsu produces better result, but at the cost of complexity and also correspondingly the complication level for pick out appropriate thresholds is high. To overcome this limitation, the concept of LSA optimization algorithm is introduced. LSA is a fresh optimization process encouraged by the winding characteristics of lightening through a thunderstorm. In this paper, LSA is used to shorten the delinquent of comprehensive exploration for finding the finest thresholds. In addition to this, to enhance the quality of multi-level segmented image the concept of fusion based on local contrast is introduced. In this paper, 1D, 2D and 3D-Otsu methods using numerous optimization algorithms are implemented with energy curve and fusion based approach and compared with proposed fusion based energy 3D Otsu method using LSA algorithm. Experimental outputs demonstrate that the proposed Fusion-Energy-3D Otsu-LSA algorithm is outperforms and it can be established by comparing the well-known fidelity constraints of an image.

本文提出了一种新的组织良好的基于​​融合的3D Otsu能量阈值化原型，该原型用于通过闪电搜索算法（LSA）进行多级彩色图像分割。尽管3D Otsu在3D直方图的帮助下借助类间差异来工作，但性能并不令人满意。结果，实现了能量曲线模型，该模型对图像的上下文信息起作用。然而，将能量曲线的概念用于3D Otsu会产生更好的结果，但是以复杂性为代价，并且相应地，挑出合适阈值的复杂度也很高。为了克服这一限制，引入了LSA优化算法的概念。LSA是一个全新的优化过程，受到雷暴带来的闪电缠绕特性的鼓舞。在本文中，LSA用于缩短发现最佳阈值的全面探索的拖延。除此之外，为了提高多级分割图像的质量，引入了基于局部对比度的融合概念。本文利用能量曲线和基于融合的方法实现了使用多种优化算法的1D，2D和3D-Otsu方法，并与提出的基于LSA算法的基于融合的能量3D Otsu方法进行了比较。实验结果表明，所提出的Fusion-Energy-3D Otsu-LSA算法性能优异，可以通过比较图像的已知保真度约束来建立。为了提高多级分割图像的质量，引入了基于局部对比度的融合概念。本文利用能量曲线和基于融合的方法实现了使用多种优化算法的1D，2D和3D-Otsu方法，并与提出的基于LSA算法的基于融合的能量3D Otsu方法进行了比较。实验结果表明，所提出的Fusion-Energy-3D Otsu-LSA算法性能优异，可以通过比较图像的已知保真度约束来建立。为了提高多级分割图像的质量，引入了基于局部对比度的融合概念。本文使用能量曲线和基于融合的方法实现了使用众多优化算法的1D，2D和3D-Otsu方法，并将其与提出的基于LSA算法的基于融合的能量3D Otsu方法进行了比较。实验结果表明，所提出的Fusion-Energy-3D Otsu-LSA算法表现优异，可以通过比较图像的已知保真度约束来建立。