Essay examples --

In the given constraints of Cost, heft and Portability we allow design a smart call off based Fundus imagery 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 whole), Electronic (Microprocessor), Communication media(Wi-fi,Blue-tooth,Web etc) and Data base in a integrity device (Figure 2.1). This function 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 interior structures of the warmheartedness, 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 wine device and human eye.We will used smart phone senior high resolution ($$ 5MP) Camera fo r the same. Use a mobile phone carrier (Rapid Prototype Model) to mount Mobile phone camera on ophthalmoscope. sectionImage Accusation and Data cautionOptical image of the fundus is born-again into digital form by Mobile phone inbuilt Camera. ab initio 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 slowly find out either patient data.To organized data it will do flowing lying-in eginenumerate spotCreate Folder whose Name is same forbearing IDitemSave Image/Video in that folderitemRight and Eye Information is used to do file name .endenumerate sectionImage ProcessingThis section will perform all the image impact task, that is widely separated into 2 ... ...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 the fundus image in a JPEG format, whic h gets stored in the phone. The image is then tasteful for detection of its optical disk and cup, after which the respective areas are figure 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 develop 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.