Dr. Basak Oztan Profile

Dr. Basak Oztan

Senior Image Processing Scientist at Rapiscan Systems | AS&E

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 3 June 2022 Presentation + Paper

Augmenting data with GANs for firearms detection in cargo x-ray images

Phawis Thammasorn, Basak Oztan

Proceedings Volume 12104, 1210406 (2022) https://doi.org/10.1117/12.2618887

KEYWORDS: Firearms, Gallium nitride, X-rays, X-ray imaging, Binary data, X-ray detectors, Inspection, Weapons, X-ray technology, Image quality

Read Abstract +

Proceedings Article | 14 May 2019 Paper

Automated firearms detection in cargo x-ray images using RetinaNet

Yunqi Cui, Basak Oztan

Proceedings Volume 10999, 109990P (2019) https://doi.org/10.1117/12.2517817

KEYWORDS: Firearms, X-rays, X-ray imaging, Inspection, Image segmentation, Fourier transforms, X-ray detectors, Sensors, Data modeling, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 23 March 2016 Paper

Model coupling for predicting a developmental patterning process

Nimit Dhulekar, Basak Oztan, Bülent Yener

Proceedings Volume 9791, 979104 (2016) https://doi.org/10.1117/12.2217528

KEYWORDS: Performance modeling, Image segmentation, Interfaces

Read Abstract +

Physics-based-theoretical models have been used to predict developmental patterning processes such as branching morphogenesis for over half a century. While such techniques are quite successful in understanding the patterning processes in organs such as the lung and the kidney, they are unable to accurately model the processes in other organs such as the submandibular salivary gland. One possible reason is the detachment of these models from data that describe the underlying biological process. This hypothesis coupled with the increasing availability of high quality data has made discrete, data-driven models attractive alternatives. These models are based on extracting features from data to describe the patterns and their time evolving multivariate statistics. These discrete models have low computational complexity and comparable or better accuracy than the continuous models. This paper presents a case study for coupling continuous-physics-based and discrete-empirical-models to address the prediction of cleft formation during the early stages of branching morphogenesis in mouse submandibular salivary glands (SMG). Given a time-lapse movie of a growing SMG, first we build a descriptive model that captures the underlying biological process and quantifies this ground truth. Tissue-scale (global) morphological features are used to characterize the biological ground truth. Second, we formulate a predictive model using the level-set method that simulates branching morphogenesis. This model successfully predicts the topological evolution, however, it is blind to the cellular organization, and cell-to-cell interactions occurring inside a gland; information that is available in the image data. Our primary objective via this study is to couple the continuous level set model with a discrete graph theory model that captures the cellular organization but ignores the forces that determine the evolution of the gland surface, i.e. formation of clefts and buds. We compared the prediction accuracy of our model to an on-lattice Monte-Carlo simulation model which has been used extensively for modeling morphogenesis and organogenesis. The results demonstrate that the coupled model yields comparable simulations of gland growth to that of the Monte-Carlo simulation model with a significantly lower computational complexity.

Proceedings Article | 23 February 2012 Paper

Follicular lymphoma grading using cell-graphs and multi-scale feature analysis

Basak Oztan, Hui Kong, Metin Gürcan, Bülent Yener

Proceedings Volume 8315, 831516 (2012) https://doi.org/10.1117/12.911360

KEYWORDS: Feature extraction, Lymphoma, Tissues, Image segmentation, Feature selection, Cancer, Machine learning, Image analysis, Computing systems, Model-based design

Read Abstract +

Proceedings Article | 25 January 2011 Paper

High capacity image barcodes using color separability

Orhan Bulan, Basak Oztan, Gaurav Sharma

Proceedings Volume 7866, 78660N (2011) https://doi.org/10.1117/12.872215

KEYWORDS: Computer programming, RGB color model, Modulation, Printing, Visualization, Image processing, Halftones, Binary data, Scanners, Image quality

Read Abstract +

SPIE Journal Paper | 1 October 2010

Per-separation clustered-dot color halftone watermarks: separation estimation based on spatial frequency content

Basak Oztan, Gaurav Sharma

JEI, Vol. 19, Issue 04, 043007, (October 2010) https://doi.org/10.1117/12.10.1117/1.3497615

KEYWORDS: Halftones, Digital watermarking, RGB color model, CMYK color model, Scanners, Printing, Image processing, Absorbance, Spatial frequencies, Optical filters

Read Abstract +

Proceedings Article | 19 January 2010 Paper

Clustered-dot color halftone watermarks using spatial frequency and color separability

Basak Oztan, Gaurav Sharma

Proceedings Volume 7528, 75280Y (2010) https://doi.org/10.1117/12.839293

KEYWORDS: Halftones, Digital watermarking, RGB color model, Scanners, CMYK color model, Printing, Spatial frequencies, Optical filters, Phase modulation, Spatial filters

Read Abstract +

SPIE Journal Paper | 1 April 2008 Open Access

Misregistration sensitivity in clustered-dot color halftones

Basak Oztan, Gaurav Sharma, Robert Loce

JEI, Vol. 17, Issue 02, 023004, (April 2008) https://doi.org/10.1117/12.10.1117/1.2917517

KEYWORDS: Halftones, Printing, CMYK color model, Fourier transforms, Matrices, Curium, Systems modeling, Reflectivity, Convolution, Image processing

Read Abstract +

DOWNLOAD PAPER

SPIE Journal Paper | 1 April 2008

Errata: Misregistration sensitivity in clustered-dot color halftones

Basak Oztan, Gaurav Sharma, Robert Loce

JEI, Vol. 17, Issue 02, 029802, (April 2008) https://doi.org/10.1117/12.10.1117/1.2952922

Proceedings Article | 18 March 2008 Paper

Data embedding in hardcopy images via halftone-dot orientation modulation

Orhan Bulan, Vishal Monga, Gaurav Sharma, Basak Oztan

Proceedings Volume 6819, 68190C (2008) https://doi.org/10.1117/12.767408

KEYWORDS: Halftones, Binary data, Distortion, Data hiding, Printing, Modulation, Image processing, Digital watermarking, Visualization, Statistical analysis

Read Abstract +

Proceedings Article | 29 January 2007 Paper

Removal of artifacts from JPEG compressed document images

Basak Oztan, Amal Malik, Zhigang Fan, Reiner Eschbach

Proceedings Volume 6493, 649306 (2007) https://doi.org/10.1117/12.705414

KEYWORDS: Image compression, Image segmentation, Visualization, Quantization, Image processing, Signal to noise ratio, Image quality standards, Image processing algorithms and systems, Image quality, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 16 January 2006 Paper

Analysis of misregistration-induced color shifts in the superposition of periodic screens

Basak Oztan, Gaurav Sharma, Robert Loce

Proceedings Volume 6058, 60580X (2006) https://doi.org/10.1117/12.650893

KEYWORDS: Halftones, CMYK color model, Superposition, Printing, Data modeling, Computer simulations, Error analysis, Color printing, Visible radiation, Spatial frequencies

Read Abstract +

Proceedings Article | 17 January 2005 Paper

Quantitative evaluation of misregistration-induced color shifts in color halftones

Basak Oztan, Gaurav Sharma, Robert Loce

Proceedings Volume 5667, (2005) https://doi.org/10.1117/12.585072

KEYWORDS: Halftones, Printing, CMYK color model, Curium, Image processing, Data modeling, Spectral models, Image registration, Superposition, Color printing

Read Abstract +

Showing 5 of 13 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years