99 citations · 257 across the 10 of their papers we have counts for
14 papers
Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans
Luka Posilović, Duje Medak, Marko Subasic +2
Non-destructive testing is a set of techniques for defect detection in materials. While the set of imaging techniques are manifold, ultrasonic imaging is the one used the most. The…
Illumination Estimation Challenge: experience of past two years
Egor Ershov, Alex Savchik, Ilya Semenkov +15
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…
The Cube++ Illumination Estimation Dataset
Egor Ershov, Alex Savchik, Illya Semenkov +6
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image process…
Microvasculature Segmentation and Inter-capillary Area Quantification of the Deep Vascular Complex using Transfer Learning
Julian Lo, Morgan Heisler, Vinicius Vanzan +6
Purpose: Optical Coherence Tomography Angiography (OCT-A) permits visualization of the changes to the retinal circulation due to diabetic retinopathy (DR), a microvascular complica…
Deep learning vessel segmentation and quantification of the foveal avascular zone using commercial and prototype OCT-A platforms
Morgan Heisler, Forson Chan, Zaid Mammo +15
Automatic quantification of perifoveal vessel densities in optical coherence tomography angiography (OCT-A) images face challenges such as variable intra- and inter-image signal to…
AXS: A framework for fast astronomical data processing based on Apache Spark
Petar Zečević, Colin T. Slater, Mario Jurić +5
We introduce AXS (Astronomy eXtensions for Spark), a scalable open-source astronomical data analysis framework built on Apache Spark, a widely used industry-standard engine for big…
CroP: Color Constancy Benchmark Dataset Generator
Nikola Banić, Karlo Koščević, Marko Subašić +1
Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object color…
The Past and the Present of the Color Checker Dataset Misuse
Nikola Banić, Karlo Koš{č}ević, Marko Subašić +1
The pipelines of digital cameras contain a part for computational color constancy, which aims to remove the influence of the illumination on the scene colors. One of the best known…
Green Stability Assumption: Unsupervised Learning for Statistics-Based Illumination Estimation
Nikola Banić, Sven Lončarić
In the image processing pipeline of almost every digital camera there is a part dedicated to computational color constancy i.e. to removing the influence of illumination on the col…
Unsupervised Learning for Color Constancy
Nikola Banić, Karlo Koščević, Sven Lončarić
Most digital camera pipelines use color constancy methods to reduce the influence of illumination and camera sensor on the colors of scene objects. The highest accuracy of color co…
An Extension to Hough Transform Based on Gradient Orientation
Tomislav Petković, Sven Lončarić
The Hough transform is one of the most common methods for line detection. In this paper we propose a novel extension of the regular Hough transform. The proposed extension combines…
Second Croatian Computer Vision Workshop (CCVW 2013)
Sven Lončarić, Siniša Šegvić
Proceedings of the Second Croatian Computer Vision Workshop (CCVW 2013, http://www.fer.unizg.hr/crv/ccvw2013) held September 19, 2013, in Zagreb, Croatia. Workshop was organized by…
Using the Random Sprays Retinex Algorithm for Global Illumination Estimation
Nikola Banić, Sven Lončarić
In this paper the use of Random Sprays Retinex (RSR) algorithm for global illumination estimation is proposed and its feasibility tested. Like other algorithms based on the Retinex…
Flexible Visual Quality Inspection in Discrete Manufacturing
Tomislav Petković, Darko Jurić, Sven Lončarić
Most visual quality inspections in discrete manufacturing are composed of length, surface, angle or intensity measurements. Those are implemented as end-user configurable inspectio…