摘要:在我们的日的常生活中可以在很多地方看到图像，而图像是我们生活中得到信息的一种最基本的来源。我们有必要更好的发展与研究图像处理这一课题。而用于图像处理的方法现在也是多种多样的，目前人工智能算法在处理图像问题上得到了越来越多的应用。
本课题研究的是人工智能算法在图像分割中的应用。人工智能是近些年来兴起一门学科，在各个行业、领域都有着十分重要的作用。比如：在智能机器、智能控制、人工生命、图像处理与模式识别中都有着一定的作用。人工智能算法也是多种多样的，包含了许多不同的算法。其中包括了：遗传算法、神经网络、人工免疫系统、小波变换、蚁群算法、粒子群算法等。而遗传算法又是人工智能中比较重要的一门算法。它是一种迭代式的智能优化算法，遗传算法它还具有鲁棒性、并行性、自适应性，还有其收敛速度快的特点。遗传算法在图像分割中通常是帮助确定分割图像的阈值。
本文内容包括了遗传算法，还有它的生物学基础、发展历史、基本原理、特点以及基本操作流程。其次本文介绍了图像分割中的一下典型算法。例如：基于阈值分割的图像分割方法；基于边缘检测的图像分割方法；基于区域的图像分割方法。还简单介绍了几种人工智能算法，最后讲解了遗传算法在图像分割以及一些医学图片中的一些简单的应用。在肾脏切片细胞中的肾小球细胞的检测，我们需要将肾小球细胞提取出来以便进行更好的分析与研究。其中，主要对如何将肾小球细胞通过怎么样的步骤、方法。
关键词：遗传算法 人工智能 肾小球细胞 阈值分割 图像分割
ABSTRACT:Often in our daily life can be seen in many places in the image, the image is in our life is one of the most basic source of information. It is necessary for us to better development and the research of image processing this issue. And is used for image processing method is now also is varied, the artificial intelligence algorithm in image processing is applied more and more on the issue. This topic is the study of the application of artificial intelligence algorithm in image segmentation. Artificial intelligence is a subject about the rise in recent years, in the field of various industries, has a very important role. Such as: the intelligent machine, intelligent control, artificial life, image processing and pattern recognition has a certain effect.
Is also a variety of artificial intelligence algorithm, which contains many different algorithms .Artificial intelligence algorithms include: Genetic Algorithm (GA)、Neural Network、Artificial Immune System、Wavelet Transform 、Ant Colony Algorithm, Particle Swarm Optimization (PSO) Algorithm. Among them it is a kind of iterative genetic algorithm of intelligent optimization algorithm, genetic algorithm (GA) which has robustness, parallelism, adaptability, and the characteristic of its convergence speed is fast. Genetic algorithms in image segmentation are often help to determine the threshold of image segmentation. This article will focus on introduce some knowledge and application of genetic algorithm. The article content includes the genetic algorithm, and its biological basis, development history, basic principle, characteristics and basic operation process. Secondly, this paper introduces some typical algorithms in image segmentation. For example, the image segmentation method based on threshold segmentation; the image segmentation method based on edge detection; Image segmentation method based on region. Also introduced several artificial intelligence algorithms. After introduces the genetic algorithm in image segmentation, and some simple applications in some medical images. In kidney cells in the kidney biopsy cell detection, we need to pick up the kidney cells in order to better analysis and research. Among them, mainly on how to kidney cell through how the steps and methods.
Keywords: Genetic Algorithm (GA) Artificial Intelligence kidney Cells Image
Segmentation Threshold Segmentation
