Parkinson's Disease: Reflection, Evolution and Understanding of the Disease
José Dionísio de Paula Júnior,
Ronaldo Chicre Araújo,
Natália Costa Martins
Issue:
Volume 2, Issue 5, October 2017
Pages:
106-108
Received:
12 October 2017
Accepted:
24 October 2017
Published:
3 December 2017
Abstract: This research is a bibliographic essay that aims to describe the main characteristics of Parkinson's disease (PD). The PD is a disease primary or idiopathic, disorder progressive derived prostaglandins caused by the loss of dopaminergic neurons located in the compact of substance Nigra. The initial symptoms, and its manifestations are difficult to identify, are usually seen during the social harmony, which can be motor abnormalities, such as tremors and irritability posture. The cause of the PD is caused by the degeneration of the neurons of the substance Nigra, where there is a decrease in the levels of dopamine due to destruction of neurons, but the reasons for such degeneration are still unknown. The study consists of a reflexive essay of literature with the goal of understanding the progression of Parkinson's Disease and understand behaviors during the evolution of the disease. Parkinson's disease is a disease only, chronic-degenerative disease, causing their patients with disorders of movement, coordination, muscle strength, as well as decrease the quality of life and lead to isolation and depression.
Abstract: This research is a bibliographic essay that aims to describe the main characteristics of Parkinson's disease (PD). The PD is a disease primary or idiopathic, disorder progressive derived prostaglandins caused by the loss of dopaminergic neurons located in the compact of substance Nigra. The initial symptoms, and its manifestations are difficult to ...
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A Comprehensive Reference Source for the Researchers Involved in Image Enhancement Field – A Review
Issue:
Volume 2, Issue 5, October 2017
Pages:
109-119
Received:
14 October 2017
Accepted:
25 October 2017
Published:
3 December 2017
Abstract: Image enhancement is the processing of a given image so that the result is more suitable than the original image for a particular profession for future automated image processing, such as analysis, detection, segmentation and recognition. The essential target of image enhancement is to minimize noise from a digital image by keeping the intrinsic information of the image preserved. The main difficulty in image enhancement is determining the criteria for enhancement therefore; more than one image enhancement techniques are empirical and require interactive procedures to obtain satisfactory results. In this paper robust image enhancement algorithms are discussed, implemented to noisy images and compared according to their robustness. The algorithms are especially able to improve the contrast of medical images, fingerprint images and selenography images by means of software techniques. When deciding that one image has better quality than another image, quality measure metrics are needed. Otherwise comparing image quality just by visual appearance may not be objective because images could vary from person to person. That is why quantitative metrics are crucial to compare images for their qualities. In this paper Peak Signal to Noise Ratio (PSNR) and Mean Squared Error (MSE) quality measure metrics are used to compare the image enhancement methods systematically. All the methods are validated by the performance measures with PSNR and MSE. It is believed that this paper will provide comprehensive reference source for the researchers involved in image enhancement field.
Abstract: Image enhancement is the processing of a given image so that the result is more suitable than the original image for a particular profession for future automated image processing, such as analysis, detection, segmentation and recognition. The essential target of image enhancement is to minimize noise from a digital image by keeping the intrinsic in...
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