Object detection in X-ray images is an interesting problem in the field of machine vision. The reason is that images from an X-ray machine are usually obstructed with other objects and to itself, therefore object classification and localization is a challenging task. Furthermore, obtaining X-ray data is difficult due to an insufficient dataset available compared with photographic images from a digital camera. It is vital to easily detect objects in an X-ray image because it can be used as decision support in the detection of threat items such as improvised explosive devices (IED’s) in airports, train stations, and public places. Detection of IED components accurately requires an expert and can be achieved through extensive training. Also, m...
Manual detection of threat objects in an X-ray machine is a tedious task for the baggage inspectors ...
The concept of a smart city and its associated services have been extensively explored in terms of i...
Automatic threat detection is an increasingly important area in X-ray security imaging since it is c...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Automated detection of threat objects in a security X-ray image is vital to prevent unwanted inciden...
Automated detection of threat objects in a security X-ray image is vital to prevent unwanted inciden...
We consider the use of deep Convolutional Neural Networks (CNN) with transfer learning for the image...
Deep learning is a branch of machine learning, which is an efficient way to achieve the goal, artifi...
Deep learning is a branch of machine learning, which is an efficient way to achieve the goal, artifi...
We consider the use of transfer learning, via the use of deep Convolutional Neural Networks (CNN) fo...
The concept of a smart city and its associated services have been extensively explored in terms of i...
X-ray imagery security screening is essential to maintaining transport security against a varying pr...
Manual detection of threat objects in an X-ray machine is a tedious task for the baggage inspectors ...
The concept of a smart city and its associated services have been extensively explored in terms of i...
Automatic threat detection is an increasingly important area in X-ray security imaging since it is c...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Object detection in X-ray images is an interesting problem in the field of machine vision. The reaso...
Automated detection of threat objects in a security X-ray image is vital to prevent unwanted inciden...
Automated detection of threat objects in a security X-ray image is vital to prevent unwanted inciden...
We consider the use of deep Convolutional Neural Networks (CNN) with transfer learning for the image...
Deep learning is a branch of machine learning, which is an efficient way to achieve the goal, artifi...
Deep learning is a branch of machine learning, which is an efficient way to achieve the goal, artifi...
We consider the use of transfer learning, via the use of deep Convolutional Neural Networks (CNN) fo...
The concept of a smart city and its associated services have been extensively explored in terms of i...
X-ray imagery security screening is essential to maintaining transport security against a varying pr...
Manual detection of threat objects in an X-ray machine is a tedious task for the baggage inspectors ...
The concept of a smart city and its associated services have been extensively explored in terms of i...
Automatic threat detection is an increasingly important area in X-ray security imaging since it is c...