The intervention of noise into images during data acquisition and transmission is inevitable.
Hence, the denoising of such affected images is essential in order to have effective image …

In image segmentation and classification tasks, utilizing filters based on the target object
improves performance and requires less training data. We use the Gabor filter as …

The facial stress recognition with histogram information is discussed in this paper. The
patterns of facial stress are recognized into three stages, these include a registered image …

Speckle noise tends to reduce the diagnostic value of ultrasound imaging modalities by
degrading image quality. Edge-preserving noise-suppression can play an important role for …

Convolution Neural Networks have been the standard neural network architecture for Image
Classification and Object Segmentation. Convolutional Neural Network involves a …

In this research computer vision techniques are applied to borehole resistivity imaging in
order to establish an alternative procedure to the mean square dip (MSD) processing. The …

The intervention of noise into images during data acquisition and transmission is inevitable.
Hence, the denoising of such affected images is essential in order to have effective image …

The purpose of this research is to develop a methodology for automatic detection and
classification of geologic planes in wireline acquired resistivity imaging. The methodology …

Power lines are very important components in electricity supply since they carry the burden
of transporting large amounts of energy to various locations for the purpose of driving …

Nowadays, ultrasound image is important and very useful in medical field. It is a technique
used for visualizing body structures including tendons, muscles, joints, vessels and internal …