With the progress of face manipulation techniques, synthesized faces are spreading on Internet, which raises concerns about potential threats. To prevent these techniques’ abuse, various detection algorithms have been proposed. In this paper, we consider image’s frequency information, then propose an adaptive filtering algorithm named spatial and (SAF) Network. SAF is a dual-stream network that...

The radio frequency spectrum is getting more congested day by due to the growth of wireless devices, applications, and arrival fifth generation (5G) mobile communications. This happens because a natural resource that has restricted existence. Access all devices can be granted, but in efficient way. To resolve issue, cognitive technology come out as way, it possible sense neighboring. Spectrum s...

A model based fault detection and diagnosis technique for DC motor is proposed in this paper. Fault detection using Kalman filter and its different variants are compared. Only incipient faults are considered for the study. The Kalman Filter iterations and all the related computations required for fault detection and fault confirmation are presented. A second order linear state space model of DC...

This paper presents a local intensity structure analysis based on an intensity targeted radial structure tensor (ITRST) and the blob-like structure enhancement filter based on it (ITRST filter) for the mediastinal lymph node detection algorithm from chest computed tomography (CT) volumes. Although the filter based on radial structure tensor analysis (RST filter) based on conventional RST analys...

This paper proposes a new method for image enhancement by incorporating the concept of guided image filter and wavelet based edge detection. Guided image filter is a spatial domain filter performs the filtering by considering the content of the guidance image, which can be the input image itself or another different image. Guided image filter has no gradient distortion and better performance ne...

The matched filter has been widely used in the detection of blood vessels of the human retina digital image. In this paper, the matched filter response to the detection of blood vessels is increased by proposing better filter parameters. These filter parameters are found by using an optimization procedure on 20 retina images of the DRIVE database. Comparisons with other approaches show that the...

This paper describes a fast face identification method with Gabor filters. Two efforts are made to achieve the acceptable processing speed: 1) we design the optimal Gabor filters with the arrangement theory that uses a few directions and layers. 2) The transformation with Gabor filters (as called Gabor transformation) is only done over the regions around the facial feature points, not the whole...

Accurate detection of blood vessels from retina is an important job in computer aided diagnosis of Diabetic Retinopathy. The Matched filter is simple & effectively good method for vessel extraction. But Problem with that it recognizes vessels and non-vessels edges so it will detect false vessels. In this paper we introduce new extension of Matched Filter i.e. FDOG to extract the vessels. The MF...