Marine Mammals Classification using Acoustic Binary Patterns

Advanced Methods for Passive Acoustic Detection, Classification, and Localization of Marine Mammals

For effective long-term passive acoustic monitoring of today's large data sets, automated algorithms must provide the ability to detect and classify marine mammal vocalizations and ultimately, in some

14: Advanced Methods for Passive Acoustic Detection, Classification, and Localization of Marine Mammals

Passive Autonomous Acoustic Monitoring of Marine Mammals with Seagliders

The U.S. Navy’s use of tactical mid-frequency active sonar has been linked to marine mammal strandings and fatalities (NMFS 2001). These events have generated legal challenges to the Navy’s peacetime use of mid-frequency sonar, and have limited the Navy’s at-sea anti-submarine warfare training time. Beaked whales may be particularly sensitive to mid-frequency sonar. A mobile, persistent surveil...

Texture Classification in Lung CT Using Local Binary Patterns

In this paper we propose to use local binary patterns (LBP) as features in a classification framework for classifying different texture patterns in lung computed tomography. Image intensity is included by means of the joint LBP and intensity histogram, and classification is performed using the k nearest neighbor classifier with histogram similarity as distance measure. The proposed method is ev...

Classification of Local Binary Patterns in Mammogram Using SVM

Mammogram is one of the most commonly used radiology tool for the detection of breast cancer at the earlier stage, as it helps to reveal abnormalities such as masses, micro-calcification, asymmetries and architectural distortions. In this paper, we propose a technique for diagnosing breast cancer by using SVM classifier, which segregates on the basis of LBP features. SVM (Support Vector Machine...