X-ray computerized tomography (CT) is a nondestructive method of providing information
about the internal composition and structure of whole core reservoir samples. In this study …

This study proposes FastCrackNet, a computationally efficient crack-detection approach.
Instead of a computationally costly convolutional neural network (CNN), this technique uses …

In the new era of information technology, the use of visual aids in teaching and learning
process is inevitable. Image processing is an interesting field that studies about various …

The light microscopy method is widely used in the diagnosis of the neoplastic diseases of
the blood system. The experience and qualifications of the physician have a significant role …

In this paper, we introduce a new image modeling method by getting benefit from both
sparsity and multiscale characteristics of transform-domain modeling, along with the …

Wavelet decomposition (WD) is integrated into the Compressive Sensing (CS) model to
enhance data sparsity. This approach aims to ensure efficiency and quality in the received …

This paper proposed a novel fuzzy genetic-based noise removal filter and surveyed the gain
of popular filters for noise removal in the digital orthopantomography (OPG) images. The …

Speckle noise is a multiplicative type of noise commonly seen in medical and remote
sensing images. It gives a granular appearance that degrades the quality of the recorded …

The digital image carries a lot of pictorial information which has now become one of the chief
ways of communication in this generation. The transmission of media especially image is …

In this thesis, we have studied the concept of mathematical morphology and morphological
operators to devise new methods to recognise and reassemble paths and patterns through …