Partitioning of an image into several constituent components is called image segmentation.
Numerous algorithms using different approaches have been proposed for image …

Accurate medical diagnosis requires a segmentation of large number of medical images.
The automatic segmentation is still challenging because of low image contrast and ill …

Image segmentation generally refers to the process that partitions an image into mutually
exclusive regions that cover the image. Among the various image segmentation techniques …

In modern agricultural field, pest detection cause significant reduction in both quality and
quantity of tomato plant cultivation. In order to increase the Production rate of Tomato plant …

In modern agricultural field, pest detection is a major role in plant cultivation. In order to
increase the Production rate of agricultural field, the presence of whitefly pests which cause …

At present, management analysis bandwidth in a university is indispensable. It aims to
control bandwidth usage, so that all spots can be served comfortably especially to …

In gift agricultural subject, pest identity causes enormous discount in both fine and quantity
of crop cultivation. If you want to growth the production price of crop, the presence of tiny …

This Paper Investigates The Diagnosis Of Liver Abnormalities From Ultrasonic Images Using
K Means Clustering Algorithm And Five Classifiers. Nowadays, Liver Cancer Is One Of The …

Techniques of data mining that used in the medical diagnosis a number of diseases like
cancer, diabetes, stroke, and heart disease. The great importance emerging fields for …

This paper proposes adaptive quantization based on fuzzy classified priority mapping in
order to achieve higher encoding efficiency. The priority map serves as a quantization mask …