Directional wavelet based features for colonic polyp classification

Local fractal dimension based approaches for colonic polyp classification

This work introduces texture analysis methods that are based on computing the local fractal dimension (LFD; or also called the local density function) and applies them for colonic polyp classification. The methods are tested on 8 HD-endoscopic image databases, where each database is acquired using different imaging modalities (Pentax's i-Scan technology combined with or without staining the muc...

Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

Recently, Deep Learning, especially through Convolutional Neural Networks (CNNs) has been widely used to enable the extraction of highly representative features. This is done among the network layers by filtering, selecting, and using these features in the last fully connected layers for pattern classification. However, CNN training for automated endoscopic image classification still provides a...

Classification of encrypted traffic for applications based on statistical features

Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...

Weighted Directional 3D Stationary Wavelet-based Action Classification

The aim of intelligent surveillance is to conceive reliable and efficient systems having the ability to detect moving objects in complicated real world scenes. These systems also, track the detected objects and analyze their actions and activities. Many applications are built on these operations such as advanced robotics and human computer interaction. This paper aims at proposing a framework f...