APPLICATION OF MORPHOLOGICAL IMAGE PROCESSING TO REMOVE HAIR NOISES WHILE ENHANCING PATTERNS OF NEAR-INFRARED HUMAN VEIN IMAGES
Keywords:Morphological image processing; Image enhancement; Human vein images; Near infrared.
Recently, the innovative vein finder system has been studied extensively and has many practical uses in healthcare and security. Developing a better vein finder system often relies on image processing procedures which help to enhance the vein images. Conventional image processing procedures as median filtering and adaptive histogram equalization have shown benefit in enhancing vein patterns. However, in some cases when there are hairs present in the images, most of these procedures are less effective in removing noises from hairs. In this work, we present a new approach employed additional morphological image processing procedures to efficiently remove hair noises. We have successfully constructed a vein finder device to acquire vein images and demonstrate the advantage of our approach. Effects of the size and shape of the structural element in different morphological image processing steps were studied and optimized to achieve the best enhancement effect. Our approach can be applied widely to other vein finder systems and enhance vein images from various parts of the human body.
. W. Wu, S. J. Elliott, S. Lin, S. Sun, and Y. Tang, in IET Biometrics (Institution of Engineering and Technology, 2020), pp. 1.
. K. H.-D. Nguyen, A. L.-T. Nguyen, and H. T.-T. Pham, in International Conference on the Development of Biomedical Engineering in Vietnam (Springer, 2017), pp. 559.
. S. Bhure and S. T. Hamde, in 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)2019), pp. 1.
. L. Wang and G. Leedham, in 2006 IEEE International Conference on Video and Signal Based Surveillance (IEEE, 2006), pp. 52.
. T. Van Tran, H. S. Dau, D. T. Nguyen, S. Q. Huynh, and L. Q. Huynh, Science and Technology Development Journal 20, 91 (2017).
. E. Hemmer, A. Benayas, F. Légaré, and F. Vetrone, Nanoscale Horizons 1, 168 (2016).
. C.-T. Pan, M. D. Francisco, C.-K. Yen, S.-Y. Wang, and Y.-L. Shiue, Sensors 19, 3573 (2019).
. L. T. Tran and H. T.-T. Pham, in International Conference on the Development of Biomedical Engineering in Vietnam (Springer, 2018), pp. 383.
. C. Villaseñor-Mora, F. J. Sanchez-Marin, and M. E. Garay-Sevilla, Infrared Physics & Technology 51, 221 (2008).
. E. Dougherty, Mathematical morphology in image processing (CRC press, 2018).