This report describes three-dimensional (3D) fusion digital subtraction angiography (FDSA), a new algorithm for rotational angiography that combines reconstructions of the blood vessels and the osseous frame in a single 3D representation. 3D-FDSA is based on separate reconstructions of the mask and contrast sequences of the rotational acquisition. The two independent 3D data sets (3D-bone and 3...

An efficient smoke detection algorithm on color video sequences obtained from a stationary camera is proposed. Our algorithm considers dynamic and static features of smoke and composed of basic steps: preprocessing; slowly moving areas and pixels segmentation in a current input frame based on adaptive background subtraction; merge slowly moving areas with pixels into blobs; classification of th...

A new cepstrum-based channel compensation method is proposed for speaker verification over the telephone network. The method consists of intra-frame and interframe cepstral processing. For the former, a poleremoved cepstrum is derived, where the LP poles with frequency higher than a certain threshold are removed. For the latter, we introduce a novel way of cepstral mean subtraction called diffe...

In this paper, we have evaluated a noisy speech recognition method based on noise reduction and acoustic model adaptation, on the AURORA2 tasks. For noise reduction method, we employed two noise reduction methods. One is an Adaptive Sub-Band Spectral Subtraction (ASBSS) method which can vary noise subtraction rate according to SNR in frequency bands at each frame. The other is a Kalman filterin...

In order to meet the requirements of robustness and discrimination of content preserving operations after conversion of speech communication format on the heterogeneous mobile terminal, and noise reduction and efficient authentication, a new efficient speech perceptual hashing authentication algorithm based on spectral subtraction and energy to entropy ratio was proposed. Firstly the proposed a...

Detection of moving objects in a video sequence is a difficult task and robust moving object detection in video frames for video surveillance applications is a challenging problem. Object detection is a fundamental step for automated video analysis in many vision applications. Object detection in a video is usually performed by object detectors or background subtraction techniques. Frequently, ...

the aim of digital subtraction of radiographic images is eliminating the additional shades to increase the resolution and quality of the images. in dentistry, digital subtraction technique can be used for diagnosis of progressive periodontal diseases or evaluation of the amount of jaw bone repair or destruction. in this study, the possibility of digital subtraction with non-expensive techniques...

Abstract Compared with traditional smoke alarms, detection based on video images has the advantages of low cost, fast response time, wide applicability, etc. Smoke algorithms are becoming an effective and widely used tool for early warning fires by recognizing graphic features. In this paper, we use VGG-16 neural network as benchmark improve it using null convolution combining dynamic multi-fra...