公开(公告)号：US20050160092A1

公开(公告)日：2005-07-21

申请号：US10758096

申请日：2004-01-16

Applicant: Lalit Mestha ,  Sohail Dianat ,  Francesca Polo ,  Gary Skinner

Inventor： Lalit Mestha ,  Sohail Dianat ,  Francesca Polo ,  Gary Skinner

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G01J3/28 ,  G01J3/46 ,  G01J3/462 ,  G01J3/50 ,  G01J3/501 ,  G01J3/524 ,  G01J2003/466 ,  G06F17/30289 ,  H04N1/6033 ,  Y10S707/99937

Abstract: To determine spectra, integrated multiple illuminant measurements from a non-fully illuminant populated color sensor may be converted into a fully populated spectral curve using a reference database. The reference database is partitioned into a plurality of clusters, and an appropriate centroid is determined for each cluster by, for example, vector quantization. Training samples that form the reference database may be assigned to the clusters by comparing the Euclidean distance between the centroids and the sample under consideration, and assigning each sample to the cluster having the centroid with the shortest Euclidean distance. When all training samples have been assigned, the resulting structure is stored as the reference database. When reconstructing the spectra for new measurements from the sensor, the Euclidean distances between actual color samples under measurement and each cluster centroid are measured. The spectra are then reconstructed using only the training samples from the cluster corresponding to the shortest Euclidean distance, resulting in improved speed and accuracy.

Abstract translation: 为了确定光谱，可以使用参考数据库将来自非完全光源的填充颜色传感器的集成多个光源测量值转换为完全填充的光谱曲线。 参考数据库被划分成多个簇，并且通过例如向量量化为每个簇确定适当的质心。 形成参考数据库的训练样本可以通过比较质心和所考虑的样本之间的欧氏距离，并将每个样本分配给具有最短欧几里德距离的质心的群集来分配给群集。 当所有训练样本都被分配后，结果存储为参考数据库。 当从传感器重建新测量的光谱时，测量测量下的实际颜色样本与每个聚类质心之间的欧氏距离。 然后使用仅对应于最短欧几里得距离的簇的训练样本重建光谱，从而提高速度和精度。