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G. M. Atiqur Rahaman
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Journal Articles
- 2022
- [j6]Md. Mehedi Rahman Rana, Abul Hasnat, G. M. Atiqur Rahaman:
SMIFD-1000: Social media image forgery detection database. Digit. Investig. 41: 301392 (2022) - 2021
- [j5]Sajib Saha, G. M. Atiqur Rahaman, Sarder Tazul Islam, Masuma Akter, Shaun Frost, Yogesan Kanagasingam:
Retinal image registration using log-polar transform and robust description of bifurcation points. Biomed. Signal Process. Control. 66: 102424 (2021) - [j4]Md. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam:
An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods. IET Image Process. 15(1): 180-190 (2021) - 2020
- [j3]G. M. Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari:
A Novel Approach to Using Spectral Imaging to Classify Dyes in Colored Fibers. Sensors 20(16): 4379 (2020) - 2016
- [j2]G. M. Atiqur Rahaman, Md. Zahidul Islam:
Color transform analysis for microscale imagesegmentation to study halftone model parameters. Open Comput. Sci. 6(1) (2016) - 2010
- [j1]Kazi Shah Nawaz Ripon, Ashiqur Rahman, G. M. Atiqur Rahaman:
A Domain-Independent Data Cleaning Algorithm for Detecting Similar-Duplicates. J. Comput. 5(12): 1800-1809 (2010)
Conference and Workshop Papers
- 2022
- [c9]G. M. Atiqur Rahaman, Martin Längkvist, Amy Loutfi:
Deep Learning based Aerial Image Segmentation for Computing Green Area Factor. EUVIP 2022: 1-6 - 2019
- [c8]Md. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam:
A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs. AIME 2019: 347-351 - [c7]Tanmai K. Ghosh, Sajib Saha, G. M. Atiqur Rahaman, Md. Abu Sayed, Yogesan Kanagasingam:
Retinal Blood Vessel Segmentation: A Semi-supervised Approach. IbPRIA (2) 2019: 98-107 - [c6]Sarder Tazul Islam, Sajib Saha, G. M. Atiqur Rahaman, Deep Dutta, Yogesan Kanagasingam:
An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration. IbPRIA (1) 2019: 543-552 - 2015
- [c5]G. M. Atiqur Rahaman, Ole Norberg, Per Edström:
Experimental Analysis for Modeling Color of Halftone Images. CCIW 2015: 69-80 - [c4]G. M. Atiqur Rahaman, Abul Hasnat, Rahul Mourya:
Collection, Analysis and Representation of Memory Color Information. CCIW 2015: 93-103 - 2014
- [c3]G. M. Atiqur Rahaman, Ole Norberg, Per Edström:
Microscale halftone color image analysis: perspective of spectral color prediction modeling. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2014: 901506 - [c2]G. M. Atiqur Rahaman, Ole Norberg, Per Edström:
Extension of Murray-Davies tone reproduction model by adding edge effect of halftone dots. Measuring, Modeling, and Reproducing Material Appearance 2014: 90180F - 2013
- [c1]G. M. Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari, Ole Norberg:
Retinal Spectral Image Analysis Methods Using Spectral Reflectance Pattern Recognition. CCIW 2013: 224-238
Informal and Other Publications
- 2009
- [i1]G. M. Atiqur Rahaman, Md. Mobarak Hossain:
Automatic Defect Detection and Classification Technique from Image: A Special Case Using Ceramic Tiles. CoRR abs/0906.3770 (2009)
Coauthor Index
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