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Classification of imbalance data is the major challenge to the community these days. Machine learning algorithms can evolve a one-sided classifier when data is imbalance. The vital challenge in imbalance dataset problem is that sometimes the minority (tiny) classes are more useful, but standard classifiers tend to be biased toward the majority (huge) classes and ignore the tiny ones. In this paper...
Image fusion technique integrates suitable information from various modalities of input images into a fused distinct image where the resultant image provides better information in comparison with the input images which are used for fusion and is more appropriate for visual perception. This work presents an image fusion method which performs wavelet decomposition for both PET and MRI images with different...
Cataract is a clouding or dulling of the lens inside the eye, which leads to a decrease in vision and is considered as the most common cause of blindness. The traditional cataract examination equipment and method can be operated only by well experienced ophthalmologists. Also the large scale screening of the cataract disease in the early stage is impossible since the number of ophthalmologists is...
Normal water contains particulate matter including suspended particles, parasites, bacteria, algae, viruses, fungi and a range of dissolved and particulate material derived from the surfaces, that water may have made contact with after falling as rain. This contaminates water for household and drinking purposes. Utilization of such water has a potential to cause water borne diseases like, cholera...
The applications based on image processing for plant disease recognition and classification is the wide area of research these days. These applications are useful for timely recognition of plant disease. The disease like fungal, bacterial and virus are the destructive disease for any plant. In the study, five types of tomato diseases i.e. tomato late blight, Septoria spot, bacterial spot, bacterial...
Nowadays, abroad trade has expanded definitely in numerous nations. Plenty fruit products are foreign from alternate countries, for example, oranges, apples and so forth. Manual distinguishing proof of infected fruit is extremely tedious. The utilization of image processing procedures is of outstanding implication for the analysis of agro based applications. In any case, detection of infections in...
The Liver is a largest gland in the body. Distinct diseases affected on the liver. Liver diseases is one of the most serious health problem worldwide. For detecting the liver diseases the Segmentation Technique is essential. Segmentation is used for the classification of liver diseases. The liver diseases are focal or diffused is easily understood by the physician using segmentation. We use CT scan...
In this paper, an efficient technique for the analysis of Myopathy and normal electromyography (EMG) signals is proposed. Empirical mode decomposition (EMD) technique has been used to decompose non-stationary EMG signals in some set of narrow band intrinsic mode functions (IMFs). Hilbert transform of IMFs provides analytic signals, which are used for extraction of instantaneous frequency and instantaneous...
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