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Method for digitalizing two-dimensional equally-spaced projection image

A technique of equidistant and projected images, applied in image data processing, 2D image generation, instruments, etc., can solve problems such as difficult, undisclosed algorithms, and difficulty in data acquisition that make scientific research work inconvenient

Inactive Publication Date: 2017-06-16
THE FIRST INST OF OCEANOGRAPHY SOA
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

Many types of marine data can be obtained directly through the Internet or other means, but at the same time, some data are only released in the form of images, and it is difficult to directly obtain original data, such as images retrieved by satellites with undisclosed algorithms, artificially drawn historical imagery etc.
Most of these images have very important research value, but because of the difficulty of data acquisition, it brings great inconvenience to scientific research. Therefore, it is necessary to develop a method for image digitization, especially for difficult two-dimensional images. extra important

Method used

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  • Method for digitalizing two-dimensional equally-spaced projection image
  • Method for digitalizing two-dimensional equally-spaced projection image
  • Method for digitalizing two-dimensional equally-spaced projection image

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Embodiment Construction

[0039] 1 Image Digitization Method

[0040] The procedure of this method is as follows figure 1 shown.

[0041] 1.1 Data introduction

[0042] Levitus is the climatic ocean data produced by the Marine Climatology Laboratory of the National Oceanographic Data Center (NODC). It has three different time scales: annual average, seasonal average and monthly average, with a spatial resolution of 1°, a longitude range from 0.5°E to 0.5°W, a latitude range from 89.5°S to 89.5°N, and 33 vertical layers . Such as figure 2 is the monthly mean global sea surface temperature data for January.

[0043] 1.2 Method introduction

[0044] Read the image, you can directly get the RGB value of the image, but if you want to get the data value corresponding to each RGB value, you should determine the corresponding relationship between the RGB color value and the data value, usually these relationships are included in the content of the color scale. This part takes the global sea surface tem...

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Abstract

The invention discloses a method for digitalizing a two-dimensional equally-spaced projection image. The method comprises five steps such as color code determination, processing for an image with the data to be extracted, data extraction, data extraction optimization and coordinate determination. By applying the method, a great amount data which is difficult to be acquired originally but has very high practical values can be acquired, and vast application space still exists according to different specialties. Therefore, implementation of the method has extremely great application values.

Description

technical field [0001] The invention relates to a digitization method of a two-dimensional equidistant projection map. Background technique [0002] In recent decades, ocean observation technology has developed rapidly, especially with the maturity of satellite technology, ocean data has increased greatly, which has greatly promoted the progress of research work. Many types of marine data can be obtained directly through the Internet or other means, but at the same time, some data are only released in the form of images, and it is difficult to directly obtain original data, such as images retrieved by satellites with undisclosed algorithms, artificially drawn historical images, etc. Most of these images have very important research value, but because of the difficulty of data acquisition, it brings great inconvenience to scientific research. Therefore, it is necessary to develop a method for image digitization, especially for difficult two-dimensional images. Extra importa...

Claims

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Application Information

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IPC IPC(8): G06T11/00
Inventor 郁诚成孙宝楠杨永增连展
Owner THE FIRST INST OF OCEANOGRAPHY SOA
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