Microscopic image analysis is one of the challenging tasks due to the presence of weak
correlation and different segments of interest that may lead to ambiguity. It is also valuable in …

Image segmentation is an essential part of image analysis, which has a direct impact on the
quality of image analysis results. Thresholding is one of the simplest and widely used …

Image segmentation is a critical stage in the analysis and pre-processing of images. It
comprises dividing the pixels according to threshold values into several segments …

Microscopic Image segmentation has a crucial role in detecting and diagnosing numerous
critical diseases like Alzheimer's disease, Kidney disease, Cancer, many infectious …

Segmentation is considered the central part of an image processing system due to its high
influence on the posterior image analysis. In recent years, the segmentation of magnetic …

Microscopic image analysis is valuable in foremost meadows of technology as well as
medicine. Cells identification and counting is a vital step that assists, feature extraction to …

Image processing plays an important role in various medical applications to support the
computerized disease examination. Brain tumor, such as glioma is one of the life threatening …

Segmentation of brain magnetic resonance images (MRIs) can be used to identify various
neural disorders. The MRI segmentation facilitates in extracting different brain tissues such …

Image processing is extensively considered in medical field for computer-supported disease
assessment. Brain tumor is one of the deadliest cancers for the human community and …

The present paper proposes the development of a three-level thresholding based image
segmentation technique for real images obtained from CT scanning of a human head. The …