活鸡网络销售关键技术研究

发布时间：2019-01-25 19:51

【摘要】：随着经济的飞速发展,人们生活水平的提高,鸡肉已成为人们餐桌上的家常菜。但自从禽流感病毒爆发后,如何实现安全地购买、食用活鸡就成为各地政府的当务之急。现在,很多地方政府都在大力推行“定点屠宰,杀白上市”制度,通过“集中屠宰、冷链运输、生鲜上市”等一系列措施来避免禽流感病毒扩散。但该制度存在着以下的缺陷:一方面,宰杀后随着时间的推移,“白条禽”口味欠佳,冰冻成本提高;另一方面,消费者对于“白条禽”的安全卫生有着种种顾虑。本文介绍了一种活鸡网络销售方法,解决了其关键技术,该方法既保证了所买活鸡的新鲜,降低储藏成本,又实现了活鸡销售的所见即所得。本文的主要研究内容包括:(1)对鸡冠图像预处理,包括图像分割、图像增强以及二值化。使用Ostu阈值分割方法对图像进行分割,采用直方图均衡化方法得到增强图像,最后得出鸡冠图像的二值化图。(2)计算鸡冠图像的相似度。重点介绍了利用轮廓特征来计算鸡冠相似度。通过提取轮廓线,将二维轮廓信息存储到一维序列中来计算相似度。(3)设计活鸡销售平台。详细介绍了活鸡销售平台的数据库以及Web页面的设计。数据库包含四个数据表,分别是活鸡信息表、买方信息、供应商信息表以及历史记录。Web页面则包括用户注册页面、登录页面、购买活鸡页面、相似度比对页面、历史订单页面以及买方信息页面。(4)对活鸡销售平台的测试。对平台的注册页面、登录页面、购买活鸡页面、相似度比对页面、历史订单页面以及买方信息页面进行测试,确保平台稳定运行。
[Abstract]:With the rapid development of economy and the improvement of people's living standard, chicken has become a common dish on people's table. But since the outbreak of the bird flu virus, how to safely buy live chicken has become a top priority for local governments. At present, many local governments are vigorously implementing the "targeted slaughter, killing white listing" system, through "centralized slaughtering, cold chain transport, fresh market" and other measures to avoid the spread of avian influenza virus. But the system has the following shortcomings: on the one hand, after slaughter, "white striped birds" taste poor, freezing costs increased; on the other hand, consumers have a variety of concerns about the safety and health of "white striped birds". In this paper, a network selling method of live chicken is introduced, and the key technology is solved. This method not only guarantees the freshness of the live chicken, reduces the storage cost, but also realizes the WYSIWYSIWY income of the live chicken sale. The main contents of this paper are as follows: (1) preprocessing of chicken crowns image, including image segmentation, image enhancement and binarization. Ostu threshold segmentation method is used to segment the image, histogram equalization method is used to get the enhanced image. Finally, the binary image of the chicken crown image is obtained. (2) the similarity of the chicken crown image is calculated. Emphasis is placed on the use of contour features to calculate the similarity of chicken crowns. By extracting the contour line, the two-dimensional contour information is stored in the one-dimensional sequence to calculate the similarity. (3) A live chicken sales platform is designed. The database of live chicken sale platform and the design of Web page are introduced in detail. The database contains four data tables: live chicken information table, buyer information table, supplier information table and history record. The Web page includes user registration page, login page, live chicken purchase page, similarity comparison page, etc. History order page and buyer information page. (4) testing of live chicken selling platform. The registration page, login page, live chicken page, similarity comparison page, historical order page and buyer information page of the platform are tested to ensure the stable operation of the platform.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F323.7;F724.6;TP391.41

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