Osteoarthritis is the most common form of “Arthritis & Joint disease”. Osteoarthritis (OA) is one of the fundamental causes of older and overweight individual’s sickness. It is the main cause of disability in adults. Mostly this disease occurs in people above 45 years of age, in which women suffer more as compared to men. it is basically damaged the Cartilage, because of which bones rub each other causing intense pain and inflammation. this gets thick and makes spurs at the edges. The knee Osteoarthritis is of 4 grades according to X-ray. The first 2 grade and 3rd grade can be recovered with the help of therapy and medications, while the 4th grade is necessary for knee replacement. The emerging Osteoarthritis management approach involves clinical evaluation & diagnostic imaging techniques. Within this research, we explore descriptively and objectively the various medical imaging methods used to diagnose and identify knee osteoarthritis. We study on the automatically detection of recovery rate of human disease and classify Osteoarthritis in the knee from medical images (like Magnetic Resonance image, CT scan, X-ray) from various medical image classification procedures. This paper provides a study that focuses on the various medical imaging methods used to determine osteoarthritis.

In an underwater (UW) environment, the light always gets spoiled and is absorbed because it travels from the camera to the object, which seriously affects the quality of the image. As a result, unlike the underwater images, they are bad, as if a mist covers them. Due to the physical properties of the UW condition, due to the artist's color & the few of light, the visibility under water is suffering from poor visibility. We estimates that visual brightness removing moderate interference on light exposure. Underwater imaging is an important subject in marine research. Images taken under water often suffer due to the absorption and absorption of color scattering and low contrast light. The underwater image can be prepared in the form of a fair image & a mixture of upbringing light, in which the comparative volume of all camera is deeply fixed. The researches mainly based on improving the quality of image and also focused on reducing the noise.

No abstract

No abstract