中文说明：应用背景由于需要正确的疾病分析，先生，图像分割，直到现在仍然是一个具有挑战性的问题，特别是在随机噪声的存在。 ；一个新的元启发式算法的脑部MR图像分割， ；为改进蛙跳算法 ；（MSFLA），基于混合蛙跳 技术；蛙跳算法（SFLA）提出。关键技术图像分割在医学图像的理解和解释中起着非常重要的作用。它使处理疾病任务更简单、更高效。图像处理与图像处理的交易阶段分析。分割的医学图像，特别是磁共振成像，已经获得了巨大的兴趣，研究人员，提出了数以百计的方法。
English Description：
Application backgroundDue to the need of correct diseases analysis,MR image segmentation remains till now a challenging problem, especially in the presence of random noise. A new meta-heuristic algorithm for MR brain image segmentation, named Modified Shuffled Frog Leaping Algorithm (MSFLA), based on the technique of Shuffled Frog Leaping Algorithm (SFLA) is proposed. Key TechnologyImage segmentation plays a very important role in understanding and interpretation of medical images. It makes processing disease tasks simpler and more efficient. It is the transaction stage between image processing and image analysis. Segmentation of medical images, especially MRI, has received a huge amount of interest by researchers who have proposed hundreds of approaches.