摘要
作物数字图像的质量是图像处理和信息准确提取的关键。高质量的数字图像不仅是信息提取的前提,也是建立定性或定量理化参数统计和机理估算模型的保障。在图像获取、传输和处理过程中有时会出现图像降质问题,即图像退化。从引起作物图像降质的原因、图像降质后对图像后续处理的影响、减少或消除各种不利不良影响的措施,以及图像质量的评价指标等方面展开讨论,并就作物图像质量今后的研究方向进行了展望。
The quality of crop digital image is a key for processing image and extracting information exactly. High-quality digital image is not only a prerequisite for information extraction, but also a guarantee for establishing estimation model and physico- chemical parameters statistics based on qualitative or quantitative parameters. Degrading of the image sometime occurs in the process of acquisition, transmission and processing. The reason of image degradation, the effect of degraded image on subsequent treatment, the method of reducing or eliminating effect, and the evaluation index of image quality were discussed. At last, the trends of future research were summarized.
出处
《农业网络信息》
2010年第2期19-23,54,共6页
Agriculture Network Information
基金
湖南省科技计划重点项目(2006GK2025)
关键词
图像质量
成像设备
拍摄方式
光源
色偏
image quality
imaging equipment
shooting mode
light source
color shift
