Optimized clustering method for spectral reflectance recovery

被引:5
|
作者
Xiong, Yifan [1 ]
Wu, Guangyuan [1 ]
Li, Xiaozhou [2 ]
Wang, Xin [1 ]
机构
[1] Qilu Univ Technol, Shandong Acad Sci, Fac Light Ind, Jinan, Peoples R China
[2] Qilu Univ Technol, Shandong Acad Sci, State Key Lab Biobased Mat & Green Papermaking, Jinan, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
关键词
spectral recovery; dynamic partitional clustering; color space; camera responses; spectral reflectance; RECONSTRUCTION; IMAGE;
D O I
10.3389/fpsyg.2022.1051286
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
An optimized method based on dynamic partitional clustering was proposed for the recovery of spectral reflectance from camera response values. The proposed method produced dynamic clustering subspaces using a combination of dynamic and static clustering, which determined each testing sample as a priori clustering center to obtain the clustering subspace by competition. The Euclidean distance weighted and polynomial expansion models in the clustering subspace were adaptively applied to improve the accuracy of spectral recovery. The experimental results demonstrated that the proposed method outperformed existing methods in spectral and colorimetric accuracy and presented the effectiveness and robustness of spectral recovery accuracy under different color spaces.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] AN IMPROVED METHOD FOR DETERMINATION OF AMINO ACIDS BY SPECTRAL REFLECTANCE
    FRODYMA, MM
    FREI, RW
    JOURNAL OF CHROMATOGRAPHY, 1965, 17 (01): : 131 - &
  • [32] Reflectance and Fluorescence Spectral Recovery via Actively Lit RGB Images
    Fu, Ying
    Lam, Antony
    Sato, Imari
    Okabe, Takahiro
    Sato, Yoichi
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2016, 38 (07) : 1313 - 1326
  • [33] Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering
    Bozkurt, A.
    Kose, K.
    Alessi-Fox, C.
    Dy, J. G.
    Brooks, D. H.
    Rajadhyaksha, M.
    SKIN RESEARCH AND TECHNOLOGY, 2017, 23 (02) : 176 - 185
  • [34] COLOR CONSTANCY - A METHOD FOR RECOVERING SURFACE SPECTRAL REFLECTANCE
    MALONEY, LT
    WANDELL, BA
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 1986, 3 (01): : 29 - 33
  • [35] ADAPTIVE SPECTRAL REFLECTANCE RECOVERY USING SPATIO-SPECTRAL SUPPORT FROM HYPERSPECTRAL IMAGES
    Khan, Zohaib
    Shafait, Faisal
    Mian, Ajmal
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 664 - 668
  • [36] Feature Filtering Spectral Clustering Method Based on High Dimensional Online Clustering Method
    Feng, Zizhou
    Gu, Yujian
    Yang, Bin
    Chen, Baitong
    Bao, Wenzheng
    SIMULATION TOOLS AND TECHNIQUES, SIMUTOOLS 2021, 2022, 424 : 157 - 164
  • [37] Optimized Clustering Method for CT Brain Image Segmentation
    Jyoti, Amlan
    Mohanty, Mihir N.
    Kar, Sidhant Kumar
    Biswal, B. N.
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 1, 2015, 327 : 317 - 324
  • [38] A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks
    Kaufmann, Emilie
    Bonald, Thomas
    Lelarge, Marc
    ALGORITHMIC LEARNING THEORY, (ALT 2016), 2016, 9925 : 355 - 370
  • [39] A spectral algorithm with additive clustering for the recovery of overlapping communities in networks
    Kaufmann, Emilie
    Bonald, Thomas
    Lelarge, Marc
    THEORETICAL COMPUTER SCIENCE, 2018, 742 : 3 - 26
  • [40] Fast Spectral Clustering via the Nystrom Method
    Choromanska, Anna
    Jebara, Tony
    Kim, Hyungtae
    Mohan, Mahesh
    Monteleoni, Claire
    ALGORITHMIC LEARNING THEORY (ALT 2013), 2013, 8139 : 367 - 381