A new image segmentation method based on human brightness perception and foveal adaptation

被引：20
|
作者：
Heucke, L [1 ]
Knaak, M
Orglmeister, R
机构：
[1] HyperCIS AG, Berlin, Germany
[2] Tech Univ Berlin, Inst Measurement & Automat Technol, Berlin, Germany
[3] Tech Univ Berlin, Inst Elect & Lighting Technol, Berlin, Germany
来源：
IEEE SIGNAL PROCESSING LETTERS | 2000年 / 7卷 / 06期
关键词：
brightness perception; foveal adaptation; image segmentation; object recognition; psychovisual phenomena;
D O I：
10.1109/97.844629
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We propose an algorithm for adaptive image segmentation based on human psychovisual phenomena: visual perception-based segmentation. The new method can reliably segment poor quality images with low contrast and lon SNR's, Due to its adaptability, it can be applied to a wide range of low quality images with different object sizes, In successful: tests with ultrasound and flow field images that are normally difficult to segment, this new method outperforms a conventional texture-based segmentation method as a result of its biological source.
引用
收藏
页码：129 / 131
页数：3
相关论文
共 50 条
  • [1] New image segmentation method based on genetic algorithm of multilayer perception
    Long, Fuhui
    Zheng, Nanning
    Zhang, Xiaohui
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 15 (02): : 232 - 236
  • [2] BRIGHTNESS PERCEPTION WITH REGARD TO CHANGES IN ADAPTATION LEVEL OF HUMAN EYE
    MULLER, U
    BIOPHYSIK, 1969, 5 (04): : 276 - &
  • [3] New method for moving objects segmentation based on human vision perception in infrared video
    Min, Chaobo
    FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013), 2013, 8878
  • [4] Image segmentation for human tracking using sequential-image-based hierarchical adaptation
    Utsumi, A
    Ohya, J
    1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1998, : 911 - 916
  • [5] Automatic Optic Disc Segmentation based on Image Brightness and Image Contrast
    Lu, Shijian
    Liu, Jiang
    Lim, Joo Hwee
    Zhang, Zhuo
    Tan, Ngan Meng
    Wong, Wing Kee
    Li, Huiqi
    Wong, Tien Yin
    MEDICAL IMAGING 2010: IMAGE PROCESSING, 2010, 7623
  • [6] Human vision system brightness threshold based image enhancement method
    Fan, Xiao-Peng, 1606, Board of Optronics Lasers (25):
  • [7] An Image Thresholding Method Based on Human Visual Perception
    Li, Zuoyong
    Liu, Chuancai
    Zhao, Cairong
    Cheng, Yong
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1724 - 1727
  • [8] A new method of cardiographic image segmentation based on grammar
    Hamdi, Salah
    Ben Abdallah, Asma
    Bedoui, Mohamed Hedi
    Alimi, Adel M.
    INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2011), 2011, 8285
  • [9] A new method for image segmentation based on fuzzy knowledge
    Tresp, C
    Jager, M
    Moser, M
    Hiltner, J
    Fathi, M
    IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS, PROCEEDINGS, 1996, : 227 - 233
  • [10] A New Method of Image Classification Based on Domain Adaptation
    Zhao, Fangwen
    Liu, Weifeng
    Wen, Chenglin
    SENSORS, 2022, 22 (04)
12345