Essay examples --

In the given constraints of Cost, Bulkiness and Portability we pass on design a unused phone based Fundus imaging thingmabob. Device application software will solve the more problem like Automatic Glaucoma Detection and Image sweetener problem so that its doesnt required trained user for operation.That will be possible by embedding the Optical(image capturing unit), Electronic (Microprocessor), Communication media(Wi-fi,Blue-tooth,Web etc) and Data base in a single device (Figure 2.1). This branch 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 privileged structures of the eye, 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 interface device and human eye.We will used smart phone high resolution ($$ 5MP) Camera for the same. Use a m obile phone holder (Rapid Prototype Model) to bestride Mobile phone camera on ophthalmoscope. sectionImage Accusation and Data managementOptical image of the fundus is converted 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 easily find out any patient data.To organized data it will do flowing task eginenumerateitemCreate Folder whose Name is same Patient IDitemSave Image/Video in that cuspitemRight and Eye In setion is used to do file naming .endenumerate sectionImage ProcessingThis section will perform all the image processing task, that is widely separated into two ... ...paration of around 10 mm. The ophthalmoscope used provides an easy entry into the eye, together with a wider battlefield of view to better observe eye conditions.paragraphThe unit captures the fundus image in a JPEG format, which gets stored in the ph one. The image is then processed for detection of its optical disk and cup, after which the respective areas are calculated to compute the CDR for setting up the threshold for the affected eye. The image processing operations as discussed above are inbuilt in the Android Application.paragraph The setup for capturing the fundus image of a persons eye using the developed clay 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.