Search
Now showing items 11-17 of 17
Food Image Classification with Deep Features
(Ieee, 2019)
In this paper, deep feature extraction, feature concatenation and support vector machine (SVM) classifier are used for efficient classification of food images. Classification of foods according to their images becomes a ...
Chronic Tympanic Membrane Diagnosis based on Deep Convolutional Neural Network
(Ieee, 2019)
Chronic Otitis Media (COM) causes deformation of the middle ear ossicles with perforation as a result of long-lasting inflammation of the middle ear and it is one of the basic reasons for hearing loss. The middle ear images ...
A novel retinal vessel detection approach based on multiple deep convolution neural networks
(Elsevıer Ireland Ltd, 2018)
Background and objective: Computer aided detection (CAD) offers an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is a crucial step to identify the retinal disease ...
A retinal vessel detection approach using convolution neural network with reinforcement sample learning strategy
(Elsevıer Scı Ltd, 2018)
Computer-aided detection (CAD) provides an efficient way to assist doctors to interpret fundus images. In a CAD system, retinal vessel (RV) detection is an important step to identify the retinal disease regions automatically ...
Deep Feature Extraction for Face Liveness Detection
(Ieee, 2018)
Face recognition is now widely being used to verify the identity of the person in various applications ranging from border crossing to mobile authentication. However, most face recognition systems are vulnerable to spoofing ...
Deep Learning based Face Liveness Detection in Videos
(Ieee, 2017)
The human face is an important biometric quantity which can be used to access a user-based system. As human face images can easily be obtained via mobile cameras and social networks, user-based access systems should be ...
Efficient Airport Detection Using Line Segment Detector and Fisher Vector Representation
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2016)
In this letter, a two-stage method for airport detection on remote sensing images is proposed. In the first stage, a new algorithm composed of several line-based processing steps is used for extraction of candidate airport ...