Landform map building method and apparatus, electronic device and readable storage medium

Patent metadata

Field	Value
Publication number	US-11893685-B2
Application number	US-202117755172-A
Country	US
Kind code	B2
Filing date	Nov 17, 2021
Priority date	Jun 22, 2021
Publication date	Feb 6, 2024
Grant date	Feb 6, 2024

Abstract

The present disclosure provides a landform map building method and apparatus, an electronic device and a readable storage medium, and relates to the field of image processing technologies. The method for building landform map includes: acquiring a to-be-processed image to obtain a grayscale image of the to-be-processed image; classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories; extracting image spot contours of image spots in the binary images, and taking the extracted image spot contours as vector graphs to obtain a vector graph set; merging, according to position information, the vector graphs corresponding to a same landform category in the vector graph set, and obtaining a first landform map according to merging results corresponding to different landform categories; and mapping, by using a preset landform type, the vector graphs corresponding to different landform categories in the first landform map, and taking a mapping result as a second landform map.

First claim

What is claimed is:

1. A method for building landform map, comprising:
acquiring a to-be-processed image to obtain a grayscale image of the to-be-processed image;
classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories;
extracting image spot contours of image spots in the binary images, and taking the extracted image spot contours as vector graphs to obtain a vector graph set;
merging, according to position information, the vector graphs corresponding to a same landform category in the vector graph set, and obtaining a first landform map according to merging results corresponding to different landform categories; and
mapping, by using a preset landform type, the vector graphs corresponding to different landform categories in the first landform map, and taking a mapping result as a second landform map.

2. The method according to claim 1 , wherein the step of classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories comprises:
determining grayscale values of the pixels in the grayscale image;
setting, for each grayscale value, a grayscale value of the pixel with the grayscale value in the grayscale image to 1, and setting grayscale values of the other pixels to 0, to obtain a binary image corresponding to the grayscale value; and
taking a landform category corresponding to the grayscale value as a landform category of the binary image.

3. The method according to claim 1 , further comprising:
after the step of obtaining binary images corresponding to different landform categories, determining a binary image corresponding to a preset landform category; and
processing the determined binary image by using a processing manner corresponding to the preset landform category.

4. The method according to claim 1 , further comprising:
after the step of obtaining a first landform map according to merging results corresponding to different landform categories, changing a landform category of the vector graph with an area less than a first preset threshold in the first landform map to a landform category of the vector graph with an area greater than a second preset threshold adjacent thereto.

5. The method according to claim 1 , further comprising:
after the step of taking a mapping result as a second landform map, for two vector graphs intersecting in the second landform map, displaying the vector graph with a smaller area above the vector graph with a larger area.

6. The method according to claim 1 , further comprising:
after the step of taking a mapping result as a second landform map, acquiring base maps as templates, and taking the second landform map as a mask; and
superimposing the base maps on the second landform map, and taking a superimposition result as a third landform map.

7. The method according to claim 6 , wherein the step of superimposing the base maps on the second landform map, and taking a superimposition result as a third landform map comprises:
setting different scales;
superimposing the base maps corresponding to a same scale on the second landform map respectively; and
taking superimposition results corresponding to different scales as the third landform map.

8. The method according to claim 7 , wherein the step of superimposing the base maps corresponding to a same scale on the second landform map respectively comprises:
determining a superimposition manner corresponding to a current scale; and
obtaining vector graphs in the superimposition result by using the determined superimposition manner, and setting landform categories of the vector graphs in the superimposition result.

9. An electronic device, comprising:
at least one processor; and
a memory communicatively connected with the at least one processor;
wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform a method for building landform map, wherein the method comprises:
acquiring a to-be-processed image to obtain a grayscale image of the to-be-processed image;
classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories;
extracting image spot contours of image spots in the binary images, and taking the extracted image spot contours as vector graphs to obtain a vector graph set;
merging, according to position information, the vector graphs corresponding to a same landform category in the vector graph set, and obtaining a first landform map according to merging results corresponding to different landform categories; and
mapping, by using a preset landform type, the vector graphs corresponding to different landform categories in the first landform map, and taking a mapping result as a second landform map.

10. The electronic device according to claim 9 , wherein, the step of classifying pixels in the grayscale image according to grayscale values to obtain binary images corresponding to different landform categories comprises:
determining grayscale values of the pixels in the grayscale image;
setting, for each grayscale value, a grayscale value of the pixel with the grayscale value in the grayscale image to 1, and setting grayscale values of the other pixels to 0, to obtain a binary image corresponding to the grayscale value; and
taking a landform category corresponding to the grayscale value as a landform category of the binary image.

11. The electronic device according to claim 9 , further comprising:
after the step of obtaining binary images corresponding to different landform categories, determining a binary image corresponding to a preset landform category; and
processing the determined binary image by using a processing manner corresponding to the preset landform category.

12. The electronic device according to claim 9 , further comprising:
after the step of obtaining a first landform map according to merging results corresponding to different landform categories, changing a landform category of the vector graph with an area less than a first preset threshold in the first landform map to a landform category of the vector graph with an area greater than a second preset threshold adjacent thereto.

13. The electronic device according to claim 9 , further comprising:
after the step of taking a mapping result as a second landform map, for two vector graphs intersecting in the second landform map, displaying the vector graph with a smaller area above the vector graph with a larger area.

14. The electronic device according to claim 9 , further comprising:
after the step of taking a mapping result as a second landform map, acquiring base maps as templates, and take the second landform map as a mask; and
superimposing the base maps on the second landform map, and taking a superimposition result as a third landform map.

15. The electronic device according to claim 14 , wherein the step of superimposing the base maps on the second landform map, and taking a superimposition result as a third landform map comprises:
setting different scales;
superimposing the base maps corresponding to a same scale on the second landform map respectively; and
taking superimposition results corresponding to different scales as the third landform map.

16. The electronic device according to claim 15 , wherein the step of superimposing the base maps corresponding to a same scale on the second landform map respectively c

Assignees

• Beijing Baidu Netcom Sci & Tech Co Ltd

Inventors

• Zhang Junjun
• Zeng Yi
• Hou Xiaopei

Classifications

• G06T17/05 Primary

  Geographic models · CPC title

• G06T3/40

  Scaling of whole images or parts thereof, e.g. expanding or contracting · CPC title

• G06T5/50

  using two or more images, e.g. averaging or subtraction · CPC title

• G06V10/46

  Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features (colour feature extraction G06V10/56) · CPC title

• G06V10/764

  using classification, e.g. of video objects · CPC title