HIGHLIGHTS We combined Siamese Neural Network with CGAN to create a SCGAN framework. Visual perception reconstructed by Conditional Generative Adversarial (CGAN). Reducing image loss, the linear version learns be expecting latent area out of Blood Oxygen Level Dependent. Reconstruction on video fMRI dataset was objectively identifiable.

The authors present a simple method to estimate the three-dimensional shape of a face from an input image using a single reference model, based on least squares between the output of the linear-nonlinear (LN) neuronal model applied to blocks from an intensity image and blocks from a depth reference model. The authors present the results obtained by varying the LN model parameters and estimate t...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Abstract— In science and technology image processing is now a critical component. Development in computerized medical image reconstruction has make medical imaging into one of the most important sub-fields in scientific imaging. The quality of digital medical images becomes an important issue with the use of digital imaging to diagnose a disease. It is necessary that medical image must be clean...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Nowadays, Radar systems have many applications and radar imaging is one of the most important of these applications. Inverse Synthetic Aperture Radar (ISAR) is used to form an image from moving targets. Conventional methods use Fourier transform to retrieve Doppler information. However, because of maneuvering of the target, the Doppler spectrum becomes time-varying and the image is blurred. Joi...

Aiming at the problems of low recognition accuracy, high line noise, and time cost feature in traditional ceramic sculpture modeling methods, this paper designed a method based on machine learning algorithm. By constructing sparse representation model image, posterior probability image was determined Gaussian distribution pixels carried out to determine law super-resolution reconstruction reali...

The Hermite transform is introduced as an image representation model that can be used to tackle the problem of fusion in multimodal medical imagery. This model includes some important properties of human visual perception, such as local orientation analysis and the Guassian derivative model of early vision. Local analysis is achieved by windowing the image with a Gaussian function, then a local...