Essay examples --

In the given constraints of Cost, bulkiness and Portability we leave design a smart resound based Fundus imaginativeness device. Device application software will solve the more worry like Automatic Glaucoma Detection and Image Enhancement problem so that its doesnt required trained user for operation.That will be possible by embedding the Optical(image capturing social unit), Electronic (Microprocessor), Communication media(Wi-fi,Blue-tooth,Web etc) and Data base in a superstar device (Figure 2.1). This percentage will capture magnified fundus image in CMOS Camera. To make its possible by interfacing direct ophthalmoscope with CMOS Camera.Ophthalmoscope is an instrument that is use for examining the intragroup structures of the centre of attention, especially the retina, consisting essentially of a mirror that reflects light into the eye and a central hole through which the eye is examined. Here it will port device and human eye.We will used smart phone high up resolution ( $$ 5MP) Camera for the same. Use a mobile phone bearer (Rapid Prototype Model) to mount Mobile phone camera on ophthalmoscope. sectionImage Accusation and Data counselingOptical image of the fundus is reborn into digital form by Mobile phone inbuilt Camera. initially capture image/video is saved in local on board memory or SD Card. This section handles the data organization and management work such that we can good find out each patient data.To organized data it will do flowing parturiency eginenumerate percentage pointCreate Folder whose Name is same uncomplaining IDitemSave Image/Video in that folderitemRight and Eye Information is used to do file identification .endenumerate sectionImage ProcessingThis section will perform all the image affect task, that is widely separated into ii ... ...paration of around 10 mm. The ophthalmoscope used provides an easy entry into the eye, together with a wider field of view to better observe eye conditions.paragraphThe unit captures t he fundus image in a JPEG format, which gets stored in the phone. The image is then affect for detection of its optical disk and cup, after which the respective areas are cipher to compute the CDR for setting up the threshold for the affected eye. The image processing operations as discussed above are inbuilt in the humanoid Application.paragraph The setup for capturing the fundus image of a persons eye using the substantial system is shown in figure 2.2. The system is held very close to the persons eye to be detected for Glaucoma. The real time application on the phone displays the image. Also, it prints out the result in a format which can easily be interpreted.