ATLANTIS: A benchmark for semantic segmentation of waterbody images

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for polyps and colonoscopy is the screening tool of choice. The main limitations of this screening procedure are polyp miss rate and the inability to perform visual assessment of polyp malignancy. These drawbacks can be ...

Multi Resolution Fuzzy Segmentation of Satellite Images

Semantic Segmentation of Street-Side Images

In this paper we propose a method for semantic segmentation of street-side images. Segmentation and classification is pixel based and results in classes of building facades, sections of sky, road and other areas present in general images taken in the urban environment. A segmentation method is suggested and detected segments are classified. Final classification is reinforced using context infor...

A Hybrid Method for Segmentation and Visualization of Teeth in Multi-Slice CT scan Images

Introduction: Various computer assisted medical procedures such as dental implant, orthodontic planning, face, jaw and cosmetic surgeries require automatic quantification and volumetric visualization of teeth. In this regard, segmentation is a major step. Material and Methods: In this paper, inspired by our previous experiences and considering the anatomical knowledge of teeth and jaws, we prop...

A Hybrid Algorithm based on Deep Learning and Restricted Boltzmann Machine for Car Semantic Segmentation from Unmanned Aerial Vehicles (UAVs)-based Thermal Infrared Images

Nowadays, ground vehicle monitoring (GVM) is one of the areas of application in the intelligent traffic control system using image processing methods. In this context, the use of unmanned aerial vehicles based on thermal infrared (UAV-TIR) images is one of the optimal options for GVM due to the suitable spatial resolution, cost-effective and low volume of images. The methods that have been prop...