RSIP Vision Learns

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Automatic Object Recognition Algorithm

Automatic object recognition is a highly challenging task in computer vision. These challenges can be caused by many factors reducing the recognition rate of a

Cell Classification - pattern recognition classification techniques

Biomedical image processing and algorithms

Biomedical image processing (or more precisely, biomedical image and signal processing) consists in sophisticated analytical methods and algorithms, ubiquitously found integrated into diagnostic equipment and

Biometric Detection and Measurement

Eyeglasses have been with us since the 13th century, although mass production and affordability to commoner (aside from clerics, scholars and wealthy people) has begun

Video tracking of animal behavior

Animals display a diverse set of behavior, not always well interpreted by humans: some of these behavioral patterns disclose animals’ intensions, needs, and distresses. Thousands

Three-dimensional reconstruction

Three-dimensional reconstruction of scene can be viewed as is the reproduction of a depth-map. Thus, as an input we have a sequence of images as

Algorithms for Autonomous Driving

The transportation revolution coming with autonomous cars has already started, involving challenges that require proper handling of advanced technologies and algorithms: deep learning, to name

Cardiovascular Ultrasound Software

The software created by RSIP Vision uses segmentation algorithms that isolate heart walls in a noisy ultrasound image. The combination of RSIP’s image processing software with cardiovascular ultrasound provides detailed noninvasive heart monitoring system, transforming a noisy image into a clear view of the heart ventricles, enabling the medical professional to witness heart function and activities.

Cell Classification software

Whenever the task of classification of single cells is required, RSIP Vision offers pioneering technologies in both segmentation and classification of cells and nuclei. This module includes also the initial task of locating the best area in the slide that might give the best candidate for the classification.

Three-dimensional reconstruction of a deformable object

Reconstruction of the three-dimensional surface of an object based on single view 2-D sequence of images is a highly challenging task. Challenges stem in part

Degenerative Diseases Detection in the Eye

Modern imaging knows how to capture an image to see through the eye tissue transparency and inspect retina, vasculature and neural tissue: this phenomenon is

ROP - Vessel tortuosity in Retinopathy of Prematurity

ROP: Retinopathy of Prematurity

Retinopathy of prematurity (ROP) is a leading cause of blindness in infants. ROP (or Terry syndrome) is a disease of the eye affecting prematurely-born, low

Object tracking in videos

Object tracking in videos is a classical computer vision problem. It consists of not only detecting the object in a scene but also recognizing the

Eyelid Drooping – Blepharoptosis

Blepharoptosis, also known as ptosis, is a drooping of the upper eyelid causing a narrowing of the palpebral fissure (or palpebral aperture), which is the

Validation of accuracy in navigation systems

System validation of accuracy is an offline procedure performed periodically to confirm that the tracking system is accurate. In some cases, validation of accuracy can

Navigation Systems in Orthopedic Surgery

The navigation system is one of the most powerful tools for the surgeon in orthopedic surgery. The visualization system aids the surgeon to place his

Registration of CT and X-ray

Registration is a phase of orthopedic surgeries in which a visualization system is called to support the surgeon. This system provides real time view of

CT Segmentation in orthopedic surgery

CT image segmentation is a typical phase of orthopedic surgeries in which a visualization system is called to visually support the surgeon’s task. This system

Calibration of X-ray images

This series of 5 articles by RSIP Vision about orthopedic navigation during surgery displays the state-of-the-art image processing techniques offering the surgeon a highly accurate and effective real time in-op view of the surgery environment. This procedure can be divided in several tasks: camera calibration of input images; segmentation during orthopedic surgeries; registration of CT and X-Ray; orientation and navigation during surgery; validation of accuracy in navigation systems. The outcome is a breakthrough advancement in orthopedic surgery performance, corroborated by rich academic literature supporting the method and by widespread use in the operation room.

3D reconstruction of the heart

Using minimal 2D images from a routine angiography, RSIP Vision’s algorithm tracks the veins and constructs a route map of the arteries, from two different angles. Our sophisticated algorithms applied to computer vision in cardiology reconstruct 3D models of the heart artery tree from 2D images, allowing for improved diagnostic capabilities, lower risk to both patients and physicians, more effective therapy and reduced costs.

Defect Detection in Ceramics

When a tile is manufactured in mass production lines, manual inspection becomes a limiting factor to speed of production. This calls for the development of an automated inspection and defects detection in ceramics material, which RSIP Vision has built for one of its clients, generating dramatic improvements in terms of output quality, waste reductions and loss of labor time, all of which benefit the manufacturer’s image and profits.

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