A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score


Download A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A New Algorithm For Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score


A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score

Author: Keli Hu

language: en

Publisher: Infinite Study

Release Date:


DOWNLOAD





Foreground detection is a task for detecting the moving objects in the scene like in video surveillance. Several basic background models are often used due to their high efficiency. However, their results are not good when there exists noisy information generated by the bad weather, camera jitter, etc. Neutrosophic set (NS) is as a new branch of philosophy dealing with the origin, nature and scope of neutralities. It has an inherent ability to handle the indeterminant information like the noise included in images and video sequences.

A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score


A New Algorithm for Improving Basic Model Based Foreground Detection Using Neutrosophic Similarity Score

Author: Keli Hu

language: en

Publisher: Infinite Study

Release Date:


DOWNLOAD





Foreground detection is a task for detecting the moving objects in the scene like in video surveillance. Several basic background models are often used due to their high efficiency. However, their results are not good when there exists noisy information generated by the bad weather, camera jitter, etc. Neutrosophic set (NS) is as a new branch of philosophy dealing with the origin, nature and scope of neutralities. It has an inherent ability to handle the indeterminant information like the noise included in images and video sequences.

A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation


A hybrid Fuzzy C-Means and Neutrosophic for jaw lesions segmentation

Author: Mutasem K. Alsmadi

language: en

Publisher: Infinite Study

Release Date:


DOWNLOAD





It is really important to diagnose jaw tumor in its early stages to improve its prognosis. A differential diagnosis could be performed using X-ray images; therefore, accurate and fully automatic jaw lesions image segmentation is a challenging and essential task. The aim of this work was to develop a novel, fully automatic and effective method for jaw lesions in panoramic X-ray image segmentation.