Assoc.Prof. Dr. Sathit Intajag
รศ.ดร. สาธิต อินจักร์
Office :
Computer Science Building,
Faculty
of Science,
Department of Computer Science
Prince
of Songkla University,
Hat Yai, Songkhla,
Thailand, 90112
Email:
sathit.i@psu.ac.th
Lectures
2021
345-211
2019
Term I
344-221 COMPUTER ARCHITECTURES
Term II
Digital image processing
and computer vision
Research method
2018
Term I
344-221 COMPUTER ARCHITECTURES
Term II
Digital image processing
2016 term II
Digital
image processing
Research methodology
2016 term I
344-221 COMPUTER ARCHITECTURES
Research
Method
Data Com
AND ORGANIZATION
2015 term 1
344-482 Digital image
processing
344-671 IMAGE PROCESS & COMPUTER VISION
2014 term 2
344-792 Advance discrete
math
344-592 Research methodology
2014 term 1
344-482 Digital image
processing
344-671 IMAGE PROCESS & COMPUTER VISION
2013 (2/56)
344-281 Mathematics
for Computer science I
2012 term 2
344-281 Mathematics
for Computer science I
2012 term 1
Digital image
processing
2011 term 1
344-381
344-482
2011 term 2
344-281
344-671
2010 term 1
Structured
Programming
Digital
Image Processing
Papers
1.
P. Vonghirandecha,
S. Kansomkeat, P. Bhurayanontachai,
P. Bhurayanontachai, and S. Intajag, 2023.
Decorrelation stretch for enhancing colour fundus
photographs affected by cataracts, https://doi.org/10.1080/21681163.2023.2274948
- Jessada Dissopa, Supaporn Kansomkeat and
Sathit Intajag, 2021, Enhance Contrast and Balance Color of Retinal Image,
https://doi.org/10.3390/sym13112089
- P.
Vonghirandecha, P. Bhurayanontachai,
S. Kansomkeat, and S. Intajag, 2021,
No-Reference Retinal Image Sharpness Metric Using Daubechies Wavelet
Transform, INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL
PROCESSING, DOI: 10.46300/9106.2021.15.115
- Vonghirandecha P., Kansomkeat
S., Intajag S., 2020. Retinal image enhancement using ordering gap
adjustment and brightness specification. International Journal of
Circuits, Systems and Signal Processing 14: 414-422. DOI:
10.46300/9106.2020.14.56
- P.
Vonghirandecha, M. Karnjanadecha
and S. Intajag, “Contrast and color balance enhancement for non-uniform
illumination illumination retinal images,” Technical Journal, vol. 13, no.
4, pp. 291-296, 2019.
- P.
Vonghirandecha, M. Karnjanadecha
and S. Intajag, "Automated Color Balance and Contrast Enhancement of
Retinal Images for Visual Diagnosis," Intl. J. of Bio. and BioM. Eng., vol. 13, pp. 46-57, 2019.
- Sathit
Intajag, Supapron Kansomkeat
and Patama Bhurayanontachai,
Histogram specification with generalised
extreme value distribution to enhance retinal images, Electronics
Letters, vol. 52, no. 8, pp. 596–598, 2016.
- Intajag,
S., Tipsuwanporn, V., Cheevasuwit,
F., SAR segmentation using anisotropic diffusion, IEEJ Transactions on Electronics, Information and
Systems, vol. 128, Issue 2, pp. 260-268, 2008.
- Intajag,
S; Paithoonwatanakij, K; Cracknell, AP, Iterative
satellite image segmentation by fuzzy hit-or-miss and homogeneity index,
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING Volume:
153 Issue: 2 Pages: 206-214 Published:
APR 2006.
- Intajag,
S; Paithoonwatanakij, K; Cracknell, AP, Automatic
image segmentation using fuzzy hit or miss and homogeneity index,
INTERNATIONAL JOURNAL OF REMOTE SENSING Volume: 27
Issue: 1 Pages: 203-221 Published: JAN 10 2006.
- Intajag,
S; Paithoonwatanakij, K, Automated edge
detection by a fuzzy morphological gradient, IEICE
TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER
SCIENCES Volume: E86A Issue: 10 Pages:
2678-2689, 2003.
Conference papers
(Recently in 5 years)
- S.
Chankhachon ; S. Intajag, “Generalized Extreme
Value Trimmed Filter for Random Impulse Noise Suppression in Color
Images,” IEEE Conferences, 18th International Conference on Control,
Automation and Systems (ICCAS), 2018, pp. 481 – 486.
- S.
Ransewa ; N. Elz ; N. Thanon ; S. Intajag, “Anomaly detection using Source
Port Data with Shannon Entropy and EWMA Control
Chart,” IEEE Conferences, 18th International Conference on Control,
Automation and Systems (ICCAS), 2018, pp. 596 – 601.
- Preecha
Vonghirandecha, Montri Karnjanadecha,
and Sathit Intajag, “Visual Contrast Enhancement by Histogram Modification
Based on Generalized Extreme Value Distribution,” Proceedings of the 4thIIAE International Conference on Intelligent
Systems and Image Processing 2016 (ICISIP2016),
Kyoto International Community House, Kyoto, Japan, September 8-12, 2016,
pp. 45-52.
- Sakon
Chankhachon and Sathit Intajag,
“Generalized Extreme Value Filter to Remove Mixed Gaussian-Impulse Noise,”
PRICAI 2016: Trends in Artificial Intelligence
Volume 9810 of the series Lecture Notes in Computer Science, pp.
55-67, 2016. DOI 10.1007/978-3-319-42911-3_5.
- Sakon
Chankhachon and Sathit Intajag, “Resourceful
Method to Remove Mixed Gaussian-Impulse Noise in Color Images,” 2015 12th
International Joint Conference on Computer Science and Software
Engineering (JCSSE), pp. 18-28, 2015.
- Suwannee
Phayapchaiyakun, Sathit Intajag, and Thani Jintasuttisak, “Spectral Preservation of
Pan-sharpening for THEOS imagery,” International Conference on Control,
Automation and Systems (ICCAS 2014), Oct. 22–25, 2014 in KINTEX, Gyeonggi-do, Korea, pp. 696-681, 2014.
- Thani
Jintasuttisak and Sathit Intajag, “Color Retinal
Image Enhancement by Rayleigh Contrast-Limited Adaptive Histogram
Equalization,” International Conference on Control, Automation and Systems
(ICCAS 2014), Oct. 22–25, 2014 in KINTEX,
Gyeonggi-do, Korea, pp. 692-697, 2014.
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Publications
-Web
of Science
- Scopus
Website