Hyperspectral Image Classification using Support Vector Machine with Guided Image Filter

Contextual image classification with Support Vector Machine

Automatic Generation of Training Data for Hyperspectral Image Classification Using Support Vector Machine

An image classification method based on Support Vector Machine (SVM) is proposed on hyperspectral and 3K DSM data. To obtain training data we applied an automatic method relating to four classes namely; building, grass, tree, and ground pixels. First, some initial segments regarding to building, tree, grass, and ground pixels are produced using different feature descriptors. The feature descrip...

Malware Image Analysis and Classification using Support Vector Machine

The malware is one of the major concerns in computer and cyber security. The availability of various malware toolkits and internet popularity that has led to the increase in number of malware attacks day to day. Comparing with existing framework of antivirus scanners they currently used signature based a malware detection technique which is widely. In this paper, we propose an efficient framewo...

Automatic Cataract Classification on Retinal Image using Support Vector Machine

Eye is a delicate organ of the body which provides organisms a vision. Eye is made up of sensory component such as lens, pupil, retina etc. One of the diseases which affect the human eye is cataract. Cataract occurs due to clouding of lens in the eye. Cataract is an eye disease which is responsible for vision loss and blindness. But earlier cataract detection system can provide a patient to kno...

Brain MR Image Classification Using Least Squares Support Vector Machine

This research paper proposes an intelligent classification technique to identify tumor. The manual interpretation of tumor based on visual examination by Radiologist/physician may lead to missing diagnosis when a large number of data are analyzed. To avoid the human error, an automated intelligent classification system is proposed which caters the need for classification of medical image after ...