Method for measuring humidity and electronic device using same
View Patent ↗A method for measuring humidity at long range using simplified equipment includes creating a formula according to a relationship between multiple sets of known optical flow feature vectors and a known humidity. First and second images are obtained, wherein the first image and the second image are captured as being in the same range of capture. A plurality of feature points in the first image is obtained and an optical flow feature vector for each of the feature points according to apparent changes in position of each feature point according to the second image are calculated. The degree of current humidity according to the optical flow feature vectors and the formula is thus obtained.
1. A method for measuring humidity, the method comprising:
establishing a conversion formula corresponding to multiple set of know image distortion and know humidity;
obtaining at least two consecutive images with the same shooting range;
preprocessing the two consecutive images to obtain a first digitized image and a second digitized image;
dividing the second digitized image into a plurality of image blocks, wherein the plurality of image blocks are M×N image blocks, the M×N image blocks are spaced from each other;
obtaining a plurality of motion vectors of the plurality of image blocks based on the first digitized image and the plurality of image blocks, using full-search block matching algorithm, wherein the full-search block matching algorithm comprises searching for a best-matching image block A′ in the first digitized image within a range of (M+2Xmax, N+2Ymax) centered at an image block A of the second digitized image, wherein Xmax and Ymax are maximum displacements of any image blocks in the X and Y directions, respectively;
adding up the plurality of motion vectors of the plurality of image blocks; and
obtaining a current humidity based on the added motion vectors and the conversion formula.
2. The method as claimed in claim 1 , wherein the conversion formula is established using motion vectors as image distortion.
3. The method as claimed in claim 1 , wherein the conversion formula is established in advance using an at least square method based on a relative relationship between the distortion of image blocks in at least two images with different known humidities and the known humidities.
4. An electronic device comprising:
a camera, adapt for obtaining at least two consecutive images with the same shooting range;
a processing module adapt for establishing a conversion formula corresponding to multiple set of know image distortion and know humidity, preprocessing the two consecutive images to obtain a first digitized image and a second digitized image, dividing the second digitized image into a plurality of image blocks, wherein the plurality of image blocks are M×N image blocks, the M×N image blocks are spaced from each other, obtaining a plurality of motion vectors of the plurality of image blocks based on the first digitized image and the plurality of image blocks, using full-search block matching algorithm, wherein the full-search block matching algorithm comprises searching for a best-matching image block A′ in the first digitized image within a range of (M+2Xmax, N+2Ymax) centered at an image block A of the second digitized image, wherein Xmax and Ymax are maximum displacements of any image blocks in the X and Y directions, respectively, adding up the plurality of motion vectors of the plurality of image blocks, and obtaining a current humidity based on the added motion vectors and the conversion formula; and
a storage module adapt for storing the conversion formula.
5. The electronic device as claimed in claim 4 , wherein the conversion formula is established using motion vectors as image distortion.
6. The electronic device as claimed in claim 4 , wherein the conversion formula is established in advance using an at least square method based on a relative relationship between the distortion of image blocks in at least two images with different known humidities and the known humidities.