Patent ID: 11880994
Assignee: ZHEJIANG UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A system for determining plant leaf surface roughness wherein the system comprises a computer device that includes a processor and a non-transitory storage medium storing computer-executable instructions for the determining plant leaf surface roughness, the instructions causing the processor to execute steps included in modules and units of the instructions, the instructions comprising:
an acquisition module, configured to acquire a plurality of continuously captured zoomed-in leaf images by using a zoom microscope image capture system;
a feature match set determining module, configured to determine a feature match set according to the zoomed-in leaf images, wherein the feature match set determining module comprises:
a Gaussian filter de-noising unit, configured to perform Gaussian filter de-noising on the zoomed-in leaf images, to obtain a plurality of de-noised images;
a feature point determining unit, configured to determine a feature point corresponding to each pixel point in each of the de-noised images by using a Speeded Up Robust Features (SURF) algorithm, wherein the feature point determining unit is further configured to perform:
determining a Hessian matrix corresponding to each pixel point in each of the de-noised images by using the SURF algorithm; and
determining the feature point corresponding to each pixel point according to the Hessian matrix corresponding to each pixel point; and

a feature match set determining unit, configured to match the feature points in every two adjacent de-noised images of the de-noised images by using a violent matching algorithm, to obtain the feature match set, wherein the feature match set determining unit comprises:
a matching sub-unit, configured to match the feature points in every two adjacent de-noised images of the de-noised images by using the violent matching algorithm;
a best match distance determining sub-unit, configured to determine a best match distance according to a principle of closest distance;
a second best match distance determining sub-unit, configured to determine a second best match distance according to the principle of closest distance; and
a determining sub-unit, configured to determine whether a ratio of the best match distance to the second best match distance is greater than or equal to a first set threshold; if the ratio of the best match distance to the second best match distance is greater than or equal to the first set threshold, determine the feature match set, wherein the feature match set comprises feature matches corresponding to a plurality of feature points; if the ratio of the best match distance to the second best match distance is less than the first set threshold, delete a feature match;

a screening module, configured to delete, among the de-noised images, one or more de-noised images of which the number of feature matches in the feature match set is less than a second set threshold, to obtain n screened images;
a combined grayscale image determining module, configured to combine the n screened images, to obtain a combined grayscale image; and
a plant leaf surface roughness determining module, configured to determine plant leaf surface roughness according to the combined grayscale image.