Nuclear medicine (NM) images inherently suffer from large amounts of noise and blur. The purpose of this research is to reduce the noise and blur while maintaining image integrity for improved diagnosis. The proposed solution is to increase image quality after the standard preand postprocessing undertaken by a gamma camera system. Mean Field Annealing (MFA) is the image processing technique use...

The basic data unit of image representation, the pixel and encompassing features, form the key for the qualitative and quantitative output of any image processing step. The result of grouping pixels exhibiting similar features within local or global neighbourhood is termed as SUPERPIXEL. Computer vision research experts have conceptualised SUPERPIXEL for many decades and contributed number of s...

The mammography is the most effective procedure to diagnosis the breast cancer at an early stage. This paper proposes mammogram image segmentation using Rough K-Means (RKM) clustering algorithm. The median filter is used for pre-processing of image and it is normally used to reduce noise in an image. The 14 Haralick features are extracted from mammogram image using Gray Level Cooccurrence Matri...

An edge is one of the most important and basic features in an image. Edge detection is one of the most important research fields in computer vision and is a hot topic in image measurement technology. In this paper, based on the research and analysis of existing edge detection techniques, a new Canny adaptive edge detection method is proposed. This method has the adaptive ability, which can real...

In medical field, diagnosis of diseases competently carried out by using the image processing. So that to retrieve the relevant data from the amalgamation of resulting image is too difficult. Here the segmentation done by semi supervised learning then the result is tuned by using Deep Learning Neural Network. Higher tuning of results will leads to efficient detection of disease. The experiment ...

-An algorithm is presented for keyword recognition in Oriental language document images. The objective is to recognize keywords composed of more than one consecutive character in document images where there are no explicit visually defined word boundaries. The technique exploits the redundancy expressed by the difference between the number of possible character strings of a fixed length and the...

this paper demonstrates design and fabrication o f a mechatronic system for human drowsiness detection. this system can be used in multiple places. for example, in factories, it is used on some dangerous machinery and in cars in order t o prevent the operator o r driver from falling asleep. this system is composed of three parts: (1) mechanical, (2) electrical and (3) image processing system. a...