24Nov

Geographic Atrophy (GA)

By R. A. / 24/11/2016 / RSIP Vision Learns / No Comments

Geographic Atrophy (generally called GA) is a case of advanced Dry AMD (Age-related Macular Degeneration) which might lead to vision loss. As a consequence of the thinning of the retina and loss of RPE layer (Retinal Pigment Epithelium, located just outside the retina) via death of rods and cones...

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23Nov

People counting with infrared camera

By R. A. / 23/11/2016 / RSIP Vision Learns / No Comments

The FLIR Lepton is a low-resolution LongWave InfraRed (LWIR) camera. The purpose of this article is to explain the main challenges presented by the use of this IR camera in a typical image processing task like automated people counting. Other imaging tasks may present similar or different challen...

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21Nov

Lanes Detection System

By R. A. / 21/11/2016 / RSIP Vision Learns / No Comments

One of the theoretically simplest applications in automatic driving technologies is traffic lanes detection: however, due to the need of a very robust solution to insure the safety of travelers under any road, weather and light condition, even a simple application presents challenges which need t...

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17Nov

Machine fault detection and classification

By R. A. / 17/11/2016 / RSIP Vision Learns / No Comments

Automatic detection and diagnosis of various types of machine failure is a very interesting precess in industrial applications. With the advancement of sensors and machine intelligence, the reliability of automatic product inspection and fault detection is ever increasing. Monitoring the health o...

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17Nov

Retina Montage Software

By R. A. / 17/11/2016 / RSIP Vision Learns / No Comments

The Need for Retina Montage: Retinal imaging is one of the oldest and most reliable techniques to examine the retina to analyse its status and possibly detect existing disorders. The principle is very simple: a regular camera with proper optics and enough light can look through the pupil and see ...

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14Nov

Deformable pattern matching and classification

By R. A. / 14/11/2016 / RSIP Vision Learns / No Comments

Three sources of apparent object deformation can occur: a change in the shape of the object itself, partial or full occlusion by dynamically changing background (other moving object or imaging conditions), or camera motion. Deforming objects are in general hard to track, owing to their unpredicta...

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10Nov

Cataract surgery software

By R. A. / 10/11/2016 / RSIP Vision Learns / No Comments

A cataract is a blurring of the eye’s natural lens. This lens lies behind the iris and the pupil of the patient’s eye. Cataract surgery is the procedure by which the cloudy lens is removed and replaced with a new IOL (intraocular lens). This new lens is an artificial medical device, which i...

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10Nov

Optical Coherence Tomography Angiography

By R. A. / 10/11/2016 / RSIP Vision Learns / No Comments

Optical coherence tomography angiography (OCTA) is a method which uses OCT to produce high-resolution volumetric images of the vascular tree in the eye. It has the advantage of being a non-invasive procedure. It is quick, and produces high resolution 3-dimensional histological images. With OCTA a...

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10Nov

Automatic Pupil Distance Measurement

By R. A. / 10/11/2016 / RSIP Vision Learns / No Comments

Automatically Measuring Pupil Distance For the manufacturing and prescription of modern eye glasses there is a need for high precision measurements. The measured morphological features of the patient’s face and eyes are correlated with physical features of the glasses to ensure the best fit. One ...

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8Nov

Multi-modal registration of retina images

By R. A. / 08/11/2016 / RSIP Vision Learns / No Comments

Multi-modal registration of retina images is a process by which pictures taken with different modalities and/or at different times are registered. This is done principally when tracking some kind of condition concerning the patient, e.g. the evolution of a disease. One of the things that ophthalm...

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6Nov

3D object reconstruction by fringe projection

By R. A. / 06/11/2016 / RSIP Vision Learns / No Comments

Fringe pattern projection for 3D object reconstruction has been around for 3 decades. The method finds its application in reconstructing static and dynamic objects in diverse fields such as biomedical, dentistry, circuit board inspection, virtual reality, vibration analysis, recreational 3D light...

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29Sep

Stabilization in fluorescein angiography

By R. A. / 29/09/2016 / RSIP Vision Learns / No Comments

One of the most common tests in ophthalmology is fluorescein angiography: fluorescein is injected in the blood and it moves immediately through the blood vessels to the back of the eye. Some drops might also be applied in order to make the pupil dilate. A video clip taken shortly after that, show...

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13Sep

Breakthroughs in biomedical imaging

By R. A. / 13/09/2016 / RSIP Vision Learns / No Comments

During the last few decades, the field of biomedical imaging was shaken by major breakthroughs, which have completely changed the way physicians can observe imaging data. For instance, not long time ago, radiologists received images (taken by CT, MRI or X-Ray) and had to analyze them from scratch...

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7Sep

Type 2 interval fuzzy sets in pattern classification

By R. A. / 07/09/2016 / RSIP Vision Learns / No Comments

In search for a pattern in an image, a video or a signal, one has to consider several sources of bias, noise and uncertainties. Such uncertainties are the result of acquisition of natural signals such as outdoors images in non-sterile and poorly lit conditions, possibly containing smear, blurs, a...

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28Aug

Object feature tracking in natural scenes

By R. A. / 28/08/2016 / RSIP Vision Learns / No Comments

Augmented reality (AR), the superposition of virtual graphical models on screen, has been steadily progressing and finds its application in diverse domain from recreational to clinical. Traditionally, a virtual 3D model is placed in a scene acquired by camera based on several landmark points appe...

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22Aug

Image Categorization and Retrieval with Fisher Vectors

By R. A. / 22/08/2016 / RSIP Vision Learns / No Comments

Testing a set of images for similarity has long been a task of image processing computer vision and machine learning. The plethora of tools and techniques suggested to treat such task stems from the ever expanding definition of similarity. For some applications, similarity in color might suffice;...

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10Aug

Image Features for Classification

By R. A. / 10/08/2016 / RSIP Vision Learns / No Comments

Classification problems in image and signal analysis require, on the algorithmic side, to take into account complex information embedded in the data. Images might contain many thousands of pixel values in several color channels; their correlation and relationship characterizes the class and enabl...

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7Aug

Segmentation and tracking of kidney stones

By R. A. / 07/08/2016 / RSIP Vision Learns / No Comments

An affected anatomical region can be treated in a selective and non-invasive manner by localized and contact-free methods such as high-intensity focused ultrasound. Treatment by selective use of focused beams offers higher patients benefit than non-selective therapy since they spare the healthy t...

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1Aug

Instrument tracking for robotic aided surgery

By R. A. / 01/08/2016 / RSIP Vision Learns / No Comments

The success of complex fine-scale surgery depends heavily on surgeons’ agility, state of fatigue and their freedom to manipulate miniature instruments in the target organ. Internal organs can be reached by an insertion of flexible instruments through several small incisions in minimally invasive ...

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27Jul

Planning of screw insertion trajectory

By R. A. / 27/07/2016 / RSIP Vision Learns / No Comments

Robotic assisted minimally invasive surgery has changed the face of surgery. The use of robotic aid in surgery can be traced back to the mid-1980s, when robotic systems were used to create precise incisions, cuts and drills. From the late 1990s onwards, robotic surgery has taken a leap forward wi...

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