Image qualification for optical navigation sensor
View Patent ↗An image qualification method. A movements-determining method utilizes the image qualification, the image qualification method of which requires only an image frame to determine if the image frame is qualified. Thus, the image qualification proceeds in real time. The image qualification counts peaks of images of the frame to determine if a number of the peaks exceed a certain number, depending on application.
1. An anti-flicker method for determining the motion of a sensor, the method comprising:
receiving a group of image frames;
setting a number n equal to the number of image frames in the group which do not meet quality expectations;
setting a number m equal to the number of image frames in the group which meet quality expectations;
after the above steps, receiving a new image frame,
classifying the new image frame as meeting quality expectations;
determining that m+1>Nmax 2 , where Nmax 2 is a pre-determined threshold, Nmax 2 is the maximum number of frames which do not meet quality expectations;
setting n=0;
determining the motion of the sensor based on the new image frame.
2. The method of claim 1 , further comprising after the steps of claim 1 , setting the number of image frames which meet quality expectations to m+1, receiving a second new image frame, and determining whether the second new image frame meets or does not meet quality expectations.
3. The method of claim 2 , further comprising determining the motion of the sensor if the second new image frame meets quality expectations, otherwise if the second new image does not meet quality expectations setting n=1.
4. The method of claim 1 , wherein each received image frame includes a plurality of rows of pixels, and is classified as meeting quality expectations based on a number of upper peaks in a row of pixels.
5. The method of claim 1 , wherein each received image frame includes a plurality of columns of pixels, and is classified as meeting quality expectations based on a number of upper peaks in a column of pixels.
6. The method of claim 1 , wherein each received image frame includes a plurality of rows of pixels, and is classified as meeting quality expectations based on a number of down peaks in a row of pixels.
7. The method of claim 1 , wherein each received image frame includes a plurality of columns of pixels, and is classified as meeting quality expectations based on a number of down peaks in a column of pixels.
8. An anti-flicker method for determining the motion of a sensor, the method comprising:
receiving a group of image frames;
setting a number n equal to the number of image frames in the group which do not meet quality expectations;
setting a number m equal to the number of image frames in the group which meet quality expectations;
after the above steps, receiving a new image frame;
classifying the new image frame as not meeting quality expectations;
determining that n+1<Nmax 1 , where Nmax 1 is a pre-determined threshold, Nmax 1 is the maximum number of frames which do not meet quality expectations; and
determining the motion of the sensor based on either the group of image frames or the new image frame.
9. The method of claim 8 , further comprising after the steps of claim 8 , receiving a second new image frame, and determining whether the second new image frame meets or does not meet quality expectations.
10. The method of claim 9 , further comprising determining the motion of the sensor if the second new frame does not meet quality expectations and n+2<Nmax 1 , otherwise receiving a third new image and determining whether the third new image frame meets or does not meet quality expectations.
11. The method of claim 8 , wherein determining the motion of the sensor is based on the new image frame.
12. The method of claim 8 , wherein determining the motion of the sensor is based on the group of image frames.
13. The method of claim 8 , wherein each received image frame includes a plurality of rows of pixels, and is classified as meeting quality expectations based on a number of upper peaks in a row of pixels.
14. The method of claim 8 , wherein each received image frame includes a plurality of columns of pixels, and is classified as meeting quality expectations based on a number of upper peaks in a column of pixels.
15. The method of claim 8 , wherein each received image frame includes a plurality of rows of pixels, and is classified as meeting quality expectations based on a number of down peaks in a row of pixels.
16. The method of claim 8 , wherein each received image frame includes a plurality of columns of pixels, and is classified as meeting quality expectations based on a number of down peaks in a column of pixels.