IPOL Journal - Image Processing On Line
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IPOL is an Open Science and Reproducible Research journal. IPOL is a research journal of image processing and image analysis which emphasizes the role of mathematics as a source for algorithm design and the reproducibility of the research.
IPOL Journal - Image Processing On Line
1M ago
We compare nine line segment detectors. The two more ancient ones are based on classical edge growing followed by a statistically founded validation. The next six are very recent and based on supervised deep learning. These six deep learning methods train and validate their neural network on two datasets ('YorkUrban', 'Wireframe'); most of them compared their results with the now classic LSD (Line Segment Detector) and EDlines, and get a better performance than them on these datasets. The ninth paper combines deep learning and classical edge growing to achieve a purely non-supervised method. T ..read more
IPOL Journal - Image Processing On Line
1M ago
In this paper, we present a comprehensive Python program for localizing the point spread functions (PSFs) present in a stack of images and thereby rendering a super-resolved image in a Stochastic Optical Reconstruction Microscopy (STORM). A microscope that provides super-resolved images is known as a super-resolution microscope. Optical super-resolution microscopy is playing a pivotal role in advancing the field of optical imaging and has found applications in a number of areas such as cellular biology, biotechnology, medical research, and nanotechnology. The proposed Python program utilizes i ..read more
IPOL Journal - Image Processing On Line
2M ago
Interactive image segmentation (IIS) methods are usually trained over segmentation datasets containing natural images. They are also usually evaluated over natural images. However, the most common use case is the annotation of new images from a different domain. Yet, the performance of IIS methods on a different domain is seldom reported. In this work, we evaluate a state-of-the-art IIS method trained with natural images over an aerial image dataset. Its performance is compared to the performances the method achieves when being trained/finetuned with aerial images. The comparison reveals that ..read more
IPOL Journal - Image Processing On Line
2M ago
Interactive image segmentation (IIS) methods are usually evaluated in terms of segmentation performance vs.\ number of clicks (NoC). However, the automatic evaluation depends on a clicking procedure and its relation to the procedure used for training. In this work we compare qualitatively and quantitatively two state-of-the-art IIS methods that report the best performances but have not been compared against each other. We show i) what method is better, ii) that the performance is sensitive to clicking procedures, iii) what method is more robust to clicking procedures, and iv) that training wit ..read more
IPOL Journal - Image Processing On Line
2M ago
This article thoroughly describes a data set of 240 multivariate time series collected using 34 Cartesian Optoelectronic Dynamic Anthropometer (CODA) markers placed on the upper limb of 16 healthy subjects each undergoing 15 predefined movements such as raising their arms or combing their hair. Each sensor records its position in the 3D space. In total, 2.5 hours of time series are collected. A remarkable aspect of this data set is the extensive availability of metadata: subjects' characteristics (age, height, etc.) as well as movements' annotations. Indeed, for each subject and each movement ..read more
IPOL Journal - Image Processing On Line
2M ago
In this paper, we give the implementation of an image denoising algorithm based on backward stochastic differential equations. In our algorithm, we consider two stochastic processes. One of them has values in the image domain and determines pixels that will be involved in the reconstruction, the second one has values in the image codomain and gives weights to values of pixels. The reconstructed image is characterized by smoothing noisy pixels and at the same time enhancing edges. Our experiments show that the new approach gives very good results and can be successfully used to reconstruct imag ..read more
IPOL Journal - Image Processing On Line
3M ago
This article provides a comprehensive description of a dataset consisting of 110 multivariate gait signals collected using three inertial measurement units. The data was obtained from a sample of 19 healthy subjects who followed a predefined protocol: standing still, walking 10 meters, turning around, walking back, and stopping. One notable aspect of this dataset is the inclusion of extensive signal metadata, including the start and end timestamps of each footstep, along with contextual information for each trial. Part of this dataset was previously used to develop and assess a gait event dete ..read more
IPOL Journal - Image Processing On Line
5M ago
We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then the Ponomarenko et al. method is extended to video by sorting pairs by their low-frequency energy and estimating noise in the high frequencies. Experiments on a real dataset of drone videos show its performance for different parameter settings and different noise levels. Two extensions of the proposed method using subpixel matching and for multiscal ..read more
IPOL Journal - Image Processing On Line
5M ago
In this article, we focus on the algorithm called CCO (Constrained Constructive Optimization), initially proposed by Schreiner and Buxbaum [Computer-Optimization of Vascular Trees, IEEE Transactions on Biomedical Engineering, 40, 1993] and further extended by Karch et al. [A Three-Dimensional Model for Arterial Tree Representation, Generated by Constrained Constructive Optimization, Computers in Biology and Medicine, 29, 1999]. This algorithm can be considered as one of the gold standards for vascular tree structure generation. Modeling and/or simulating the morphology of vascular networks is ..read more
IPOL Journal - Image Processing On Line
9M ago
Nowadays, smartphone cameras capture bursts of raw photographs whenever the trigger is pressed. These photos are then fused to produce a single picture with higher quality. This paper details the implementation of the method 'Handheld Multi-Frame Super-Resolution algorithm' by Wronski et al. (used in the Google Pixel 3 camera), which performs simultaneously multi-image super-resolution demosaicking and denoising from a burst of images. Hand tremors during exposure cause subpixel motions, which combined with the Bayer color filter array of the sensor results in a collection of aliased and shift ..read more