An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …

Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is
challenging to characterize the lesions precisely using ultrasound images. The present …

Data in the healthcare industry and machine learning techniques is useful to analyse a huge
amount of data to identify the hidden patterns in the disease, to give personalised treatment …

Background One of the diagnostic tools for breast cancer screening is the ultrasound.
Ultrasounds are characterized by low cost and non-invasive patterns. A major drawback of …

Fast Fourier Transform (FFT) technique has been used for processing the images, signals. It
is used in spectrum analysis, sound filtering, image filtering, and data compression to name …

Enhancing the textural details in a satellite image play a significant part in satellite image
processing. Satellite images are rich in textural and very minute spatial data. Failing to …

Data variability can be categorized based on the capture, analysis and treatment of
biometric sample dataset. Initial interpretation of the data is necessary and this knowledge …

In the field of medicine, Tumor Segmentation from MR images is a laborious and time-
consuming process conducted by medical experts. Based on image registration technique …

One of the leading causes of death globally is stroke and it is highly essential to develop
solutions to identify stroke. Though early detection is helpful in saving human lives, hence it …

The fact that melanoma is defined as an incurable illness in its advanced stages highlights
the criticality of early detection and treatment. Various procedures and equipment have been …