Automatic image capture
A method of automatically capturing images with precision uses an intelligent mobile device having a camera loaded with an appropriate image capture application. When a user initializes the application, the camera starts taking images of the object. Each image is qualified to determine whether it is in focus and entirely within the field of view of the camera. Two or more qualified images are captured and stored for subsequent processing. The qualified images are aligned with each other by an appropriate perspective transformation so they each fill a common frame. Averaging of the aligned images reduces noise and a sharpening filter enhances edges, which produces a sharper image. The processed image is then converted into a two-level, black and white image which may be presented to the user for approval prior to submission via wireless or WiFi to a remote location.
1. A method of automatic image capture of a desired object using a mobile device having a camera comprising the steps of:
enabling an image capture application on the mobile device;
automatically capturing images of the desired object by the camera when the desired image is detected as being within a camera frame to produce captured images;
qualifying each captured image according to specified criteria to produce qualified images that satisfy the specified criteria;
storing each qualified image on the mobile device; and
stopping the automatic capturing of images when a predetermined number of qualified images are stored.
2. The method as recited in claim 1 wherein the specified criteria comprise the desired object being in focus and within the camera field of view.
3. The method as recited in claim 1 further comprising the steps of:
processing the stored qualified images to produce an enhanced image of the desired object; and
transmitting the enhanced image to a remote location.
4. The method as recited in claim 3 wherein the processing step comprises the step of aligning each of the stored qualified images to be within a common frame.
5. The method as recited in claim 4 wherein the aligning step comprises the step of performing a perspective transformation from a three-dimensional image to a two-dimensional image for the stored qualified images so the stored qualified images are within the common frame.
6. The method as recited in claim 4 wherein the processing step further comprises the step of sharpness filtering the stored qualified images to produce sharpened images as the stored qualified images.
7. The method as recited in claim 6 wherein the processing step further comprises the step of averaging the stored qualified images to reduce noise and produce an averaged image as the enhanced image.
8. The method as recited in claim 4 wherein the processing step further comprises the step of averaging the stored qualified images to reduce noise and produce an averaged image as the enhanced image.
9. The method as recited in claim 8 wherein the processing step further comprises the step of sharpness filtering the averaged image from the averaging step to produce the enhanced image.
10. The method as recited in claim 3 wherein the processing step comprises the step of converting the enhanced image to a binary image as the enhanced image for transmission in the transmitting step.
11. The method as recited in claim 10 wherein the converting step comprises the step of applying adaptive thresholding to the enhanced image to produce the binary image.
12. The method as recited in claim 3 wherein the processing step comprises the step of using optical character recognition to read information printed on the desired object to form a data file for transmission with the enhanced image in the transmitting step.
13. The method as recited in claim 3 wherein the processing step comprises the step of using a character recognition algorithm to read information on the desired object to form a data file for transmission with the enhanced image in the transmitting step.
14. The method as recited in claim 8 wherein the processing step further comprises the step of contrast enhancement of the enhanced image prior to the transmitting step.
15. The method as recited in 1 further comprising the step of determining an amount of motion in the captured images for use by the qualifying step.
16. The method as recited in claim 1 further comprising the step of displaying the enhanced image on the mobile device for review and correction, if necessary, by the user prior to the transmitting step.
17. The method as recited in claim 1 wherein the predetermined number comprises an adaptive number determined by environmental factors.
18. The method as recited in claim 17 wherein the environmental factors include lighting.
19. The method as recited in claim 15 wherein the predetermined number comprises an adaptive number determined by environmental factors.
20. The method as recited in claim 19 wherein the environmental factors include lighting and the amount of motion.