Method for panorama image processing
An image processing method for obtaining a panoramic image includes obtaining a first image and a second image by a camera unit, and obtaining location information between the viewpoints of the first image and the second image by a gyro. First features of the first image and second features of the second image are obtained according to a feature-capturing algorithm when pixel brightness differences exceed a threshold. Predicted features in the second imam are obtained by the location information, and predicted features that exceed a predetermined distance from the second features are discarded. A panorama image is obtained by combining the first image and the second image according to the first features and the selected second features.
1. An image processing device for a panorama image, comprising:
a camera unit capturing a first image and a second image; and
a processor receiving the first image and the second image, generating a plurality of first features of the first image and a plurality of second features of the second image according to a feature-capturing algorithm when a brightness difference between the first image and the second image exceeds a threshold, producing the panorama image by combining the first image and the second image according to the first features and the second features; wherein the processor splits the first image into a plurality of first sub-images of a same size which is smaller than the first image and the processor splits the second image into a plurality second sub-images of a same size which is smaller than the second image; the processor updates the threshold of the feature-capturing algorithm on each of the first sub-images according to a first numbers of the first features, wherein the threshold is raised when the first numbers of the first features on the first sub-image is less than an average of a second numbers of the first features on each of the first and the second sub-images, the threshold is reduced when the first number of the first features on the first sub-image is more than the average of the second numbers of the first features on each of the first and the second sub-images.
2. The image processing device as claimed in claim 1 , wherein the feature-capturing is a Features from Accelerated Segment Test (FAST) algorithm.
3. The image processing device as claimed in claim 1 , wherein the processor obtains a rotation matrix between the first features and the corresponding second features according to Euler angles, and produces the panorama images according to the rotation matrix to combine the first image and the second image.
4. An image processing method, for producing a panorama image, comprising:
capturing a first image and a second image by a camera unit;
obtaining a plurality of first features of the first image and a plurality of second features of the second image according to a feature-capturing algorithm when a brightness difference between the first image and the second image exceed a threshold; and
producing the panorama image by combining the first image and the second image according to the first features and the second features;
splitting the first image into a plurality of first sub-images of a same size which is smaller than the first image and the second image into a plurality second sub-images of a same size which is smaller than the second image; and
updating the threshold of the feature-capturing algorithm on each of the first sub-images according to a first numbers of the first features, wherein the threshold is raised when the first number of the first features on the first sub-image is less than an average of a second numbers of the first features on each of the first and the second sub-images, the threshold is reduced when the first number of the first features on the first sub-image is more than the average of the second numbers of the first features on each of the first and the second sub-images.
5. The image processing method as claimed in claim 4 , further comprising obtaining a rotation matrix between the first features and the corresponding second features according to Euler angles, and producing the panorama images according to the rotation matrix to combine the first image and the second image.