SELFIE CARE
Embodiments of the present invention provide a novel and non-obvious method, system and computer program product for the selfie image sourced diagnosis of prospective eye disease. In an embodiment of the invention, a method for diagnosing prospective eye disease includes acquiring a selfie image with a computer device having a front facing user display and front facing camera, such as a smart phone or other portable communications device, recognizing a portion of the selfie image as an eye and comparing the portion of the selfie image to a pre-stored image of the eye in order to detect a threshold change from the pre-stored image to the selfie image. Thereafter, in response to detecting the threshold change, an alert is displayed in the display. In this regard, optionally, the threshold change can be classified, and the classification correlated to a prospective ophthalmological diagnosis through the use of a classification table. Then, the prospective ophthalmological diagnosis can be included in the alert.
1 . A method for diagnosing prospective eye disease comprising:
acquiring a selfie image with a computer device having a front facing user display and front facing camera;
recognizing a portion of the selfie image as an eye;
comparing the portion of the selfie image to a pre-stored image of the eye in order to detect a threshold change from the pre-stored image to the selfie image; and,
responsive to detecting the threshold change, displaying an alert in the display.
2 . The method of claim 1 , wherein the threshold change is a threshold change in color of a collection of pixels of the selfie-image associated with a specific structural portion of the eye.
3 . The method of claim 1 , wherein the threshold change is a threshold change in a number of pixels accounting for a specific structural portion of the eye.
4 . The method of claim 1 , wherein the computer device is a smart phone with a touch screen display and dual camera lens, a first of the lenses positioned on an opposite side of the smart phone as the touch screen display, and a second of the lenses positioned at a same side of the smart phone as the touch screen display, the acquisition of the selfie image comprising:
detecting an acquisition of the image by one of the lenses of the smart phone;
determining which of lenses had been used to acquire the image; and,
on condition that it is determined that the second of the lenses positioned at the same side of the smart phone as the touch screen display acquired the image, identifying in the acquired image a face, matching the image of the identified face to a pre-stored image of a known face associated with the pre-stored image of the eye, and on condition that the identified face matches the known face, determining that the acquired image is the selfie image.
5 . The method of claim 1 , further comprising:
classifying the threshold change;
looking up a prospective ophthalmological diagnosis corresponding to the classification in a classification table; and,
including the prospective ophthalmological diagnosis in the alert.
6 . The method of claim 1 , wherein the computer device is a tablet.
7 . The method of claim 1 , wherein the computer device is a desktop computer.
8 . A computer program product for diagnosing prospective eye disease, the computer program product including a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to perform a method including:
acquiring a selfie image with a computer device having a front facing user display and front facing camera;
recognizing a portion of the selfie image as an eye;
comparing the portion of the selfie image to a pre-stored image of the eye in order to detect a threshold change from the pre-stored image to the selfie image; and,
responsive to detecting the threshold change, displaying an alert in the display.
9 . The computer program product of claim 8 , wherein the threshold change is a threshold change in color of a collection of pixels of the selfie-image associated with a specific structural portion of the eye.
10 . The computer program product of claim 8 , wherein the threshold change is a threshold change in a number of pixels accounting for a specific structural portion of the eye.
11 . The computer program product of claim 8 , wherein the computer device is a smart phone with a touch screen display and dual camera lens, a first of the lenses positioned on an opposite side of the smart phone as the touch screen display, and a second of the lenses positioned at a same side of the smart phone as the touch screen display, the acquisition of the selfie image comprising:
detecting an acquisition of the image by one of the lenses of the smart phone;
determining which of lenses had been used to acquire the image; and,
on condition that it is determined that the second of the lenses positioned at the same side of the smart phone as the touch screen display acquired the image, identifying in the acquired image a face, matching the image of the identified face to a pre-stored image of a known face associated with the pre-stored image of the eye, and on condition that the identified face matches the known face, determining that the acquired image is the selfie image.
12 . The computer program product of claim 8 , wherein the method further includes:
classifying the threshold change;
looking up a prospective ophthalmological diagnosis corresponding to the classification in a classification table; and,
including the prospective ophthalmological diagnosis in the alert.