In this study, an image backlight compensation method using adaptive luminance modification is proposed for efficiently obtaining clear images.The proposed method combines the fuzzy C-means clustering method, a recurrent functional neural fuzzy network (RFNFN), and a modified differential evolution.The proposed RFNFN is based on the two backlight factors that can accurately detect the compensat...

The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) and studies the stability of this algorithm. Also, stable learning algorithm for parameters of ...

Contrast resolution and detail resolution are two important parameters in ultrasound imaging. This paper presents a new method to enhance these parameters, simultaneously. A parallel auxiliary beamformer has been employed whose weightings are such that an estimation of the leaked signal through the main beamformer is obtained. Then the output of main beamformer is modified according to the ...

In this paper, we present two connected MRF models, the edge-preserving smoothing model followed by the modified standard regularization, for the adaptive binarization of the non-uniform images in the presence of noise. In particular, we have developed the computational model for the modified standard regularization method to be used to calculate the adaptive threshold surface for noisy images....

Image registration has great significance in medicine, astrophotography and satellite imaging, so a lot of techniques have been developed within its perspective of one or the other discipline. This paper presents a method for medical image registration of multimodal brain images using Modified Adaptive Polar Transform (MAPT). This algorithm can be used to register images of the same or differen...

An adaptive modified weak Galerkin method (AmWG) for an elliptic problem is studied in this paper, addition to its convergence and optimality. The bilinear form simplified without the need of skeletal variable, approximation space chosen as discontinuous polynomial method. Upon a reliable residual-based posteriori error estimator, algorithm proposed together with quasi-optimality proved lowest ...

The cuckoo search algorithm (CS) is a simple and effective global optimization algorithm. It has been applied to solve a wide range of real-world optimization problem. In this paper, the proposed method uses two new mutation rules based on the rand and best individuals among the entire population. In order to balance the exploitation and exploration of the algorithm, the new rules are combined ...

This study addresses the adaptive control and synchronization of the modified Chua’s circuit system with unknown system parameters. Adaptive control law is applied to suppress chaos to one of the three steady states. Adaptive control law is applied to achieve synchronization of two identical modified Chua’s circuit systems. Routh– Hurwitz criteria and Lyapunov direct method are used to study th...

The paper deals with image denoising with a new approach towards obtaining high quality denoised image patches using only a single image. A learning technique is proposed to obtain highly correlated image patches through sparse representation, which are then subjected to matrix completion to obtain high quality image patches. this paper show a framework for denoising by learning an appropriate ...

In recent years, active filters have been considered and developed for elimation of harmonics in power networks. Comparing with passive, they are smaller and have better compensating characteristics and resistance to line distortions. In this paper, a novel idea based on adaptive filter theory in presented to develop an active filter to eliminate the distortions of an arbitrary signal. Using th...