论文部分内容阅读
准确重建被测目标的颜色信息对实现可靠的植物病虫害诊断具有十分重要的意义。文章提出把多光谱成像技术应用于植物病虫害诊断,所采集的多光谱图像可以从光谱维和图像维反映被测目标的特征信息。在此基础上,实验采用16个窄带滤色片、单色面阵CCD、积分球混合光源照明和标准观测环境建立了能进行适时、无损检测的多光谱成像系统。并利用该设备对Macbeth色卡中8个色卡进行光谱和颜色重建,重建的结果与光谱辐射度计的测量结果进行了比较。通过对光谱匹配角度和CIE标准色差分析,证明这种多光谱成像系统能够准确、稳定地重建出目标的光谱信息和颜色信息。
Accurately reconstructing the color information of the tested target is of great significance for the reliable diagnosis of plant diseases and insect pests. The paper proposes to apply multispectral imaging to the diagnosis of plant diseases and insect pests. The acquired multispectral image can reflect the characteristic information of the measured object from the spectral dimension and the image dimension. Based on this, a multispectral imaging system capable of timely and non-destructive testing was established using 16 narrow-band color filters, monochromatic array CCD, integrated sphere illumination and standard observation environment. The device was used to reconstruct the color and color of the 8 color cards in the Macbeth color card. The reconstructed results were compared with those of the radiometric radiometer. Through the spectral matching angle and CIE standard chromatic aberration analysis, it is proved that this multispectral imaging system can accurately and stably reconstruct the target spectral information and color information.