A Threshold Segmentation Algorithm Based On Neighbourhood Characteristics

摘要：

Image threshold segmentation, which means to divide the image data into different regions by giving the appropriate segmentation threshold and the corresponding based on the characteristics of the image and the corresponding rules, is a widely used and effective method in the image processing. This article, which introduces the classic method of image segmentation principle and their advantages and disadvantages firstly, investigates image neighbourhood gray features basic theories, and analyses the visual characteristics segmentation images of practical engineering application. It mainly presents a new image visual characteristic test operator used for the project image object detection and segmentation system. This algorithm can obtain good segmentation effect through the contrast.

关键词： threshold segmentation recognition and detection neighborhood characteristics detection operators.

作者: Jiang Guangyou Kang Gewen

作者单位: University of Electronic Science and Technology of China School of Automation Engineering ChengDu,China

会议类型: 国际会议

会议名称: 2011 10th International Conference on Electronic Measurement & Instruments(第十届电子测量与仪器国际会议 ICEMI2011)

会议地点: 成都

会议语种:英文

页码: 1048-1051

在线出版日期: 2011-08-16（万方平台首次上网日期，不代表论文的发表时间）