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High-performance image tile graph generation method under big data

A big data, high-performance technology, applied in the field of image processing, to achieve the effect of accurate stitching, no memory consumption, and high computing efficiency

Pending Publication Date: 2020-11-10
成都圭目机器人有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there is no technology to quickly generate tile graphs under big data in the existing technology, and it is in a blank state in the field of tile graph generation technology

Method used

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  • High-performance image tile graph generation method under big data
  • High-performance image tile graph generation method under big data
  • High-performance image tile graph generation method under big data

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Experimental program
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Embodiment

[0052] like Figure 1 to Figure 4 As shown, this embodiment provides a high-performance image tile map generation method under big data, including the following steps:

[0053] First, in this embodiment, the resolution of the original image is 1800*900, PPM (pixel per meter) = 1071, and the level of the tile map in this embodiment is from 0-10, and the i-th tile map represents PPM i = 2 i . Among them, the tile map unit is a square, the side length is B, and the size is B*B, where B=256, then at different levels, the field of view size of each tile map unit is B*PPM i . This embodiment defines a rectangular area Rect:Rect(x, y, w, h), such as figure 2 As shown, x, y represent the pixel coordinates of the upper left corner of the area, which can be represented by Rect.x; Rect.y; w, h represent the width and height of the area, which can be represented by Rect.w; Rect.h.

[0054] The first step is to establish a coordinate system according to the level of the tile image fr...

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Abstract

The invention discloses a high-performance image tile graph generation method under big data, and the method comprises the following steps: building a coordinate system according to tile graph levelsfrom the top to the bottom, and obtaining a position mapping table of any image in a spliced big graph; traversing the coordinate range of any image, and solving the rectangular area of any image in the splicing plane and the minimum bounding box of the projected image; splitting the image of the spliced large image into a plurality of subtasks with fixed sizes; solving the number of tile graphs of any level and the optimal partition number; putting the image of the spliced large image into a minimum enclosing rectangular bounding box, and solving tile image indexes of the sub-regions on a coordinate system by adopting a division and metallurgy strategy; according to the overlapping relationship between the subareas and the minimum enclosing rectangular bounding box of any image, solving amatrix of any image under the tile map level; and generating a sub-region graph according to the matrix of any image under the tile graph level, and segmenting the sub-region graph to obtain a tile graph.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a high-performance image tile map generation method under big data. Background technique [0002] Tile map (that is, tile map pyramid in WebGIS system), the tile map pyramid model is a multi-resolution hierarchical model, from the bottom layer to the top layer of the tile pyramid, the resolution is getting lower and lower, but the geographical range represented constant. The construction process of the tile map pyramid model in the current technology is as follows: [0003] First, determine the number N of zoom levels to be provided by the map service platform, take the map picture with the highest zoom level and the largest map scale as the bottom layer of the pyramid, that is, layer 0, and divide it into blocks, starting from the upper left corner of the map picture , cut from left to right and from top to bottom, and divide it into square map tiles of the same size ...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06F16/29
CPCG06T3/4038G06F16/29
Inventor 李鹏程杨辉费越黄敏桂仲成
Owner 成都圭目机器人有限公司
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