Rock core image processing and application method based on B/S architecture
A technology of image processing and application methods, which is applied in the directions of image data processing, special data processing applications, image analysis, etc., and can solve the problems of wellbore parameter index fragmentation, low core data usage efficiency, cross-system and browser compatibility version upgrade and maintenance Difficulties and other problems, to achieve the effect of smooth browsing and improved browsing speed
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Examples
Embodiment 1
[0032] S1. Original image slicing; specifically, the original image is divided into network transmission speed and system resource size suitable for the implementation environment. The steps include: S101. Original image depth calibration, which mainly identifies the top and bottom depth information of the original image;
[0033] S102. Generate a thumbnail, and use a pyramid algorithm to extract a thumbnail of a suitable size (including meter-level and centimeter-level) for the original image;
[0034] S103. Read the original image resolution and channel number;
[0035] S104. Set the size of the segmented image, integrate the network speed and the size of the client memory, and set the maximum size of each segmented image;
[0036] S105. Segment the image, perform image segmentation according to the maximum value of the segmented image according to the resolution and the number of channels of the original image, and record the depth range value of the segmented image;
[00...
Embodiment 2
[0039] On the basis of S1, the front-end browser extracts and displays the core image, as shown in the attached figure 2 As shown, the specific steps are as follows:
[0040] S201. Designate a pound sign;
[0041] S202. Read the segmented image information, including the depth range and vertical and horizontal resolution information of each segmented image;
[0042] S203. Sorting the images by depth, performing a comprehensive depth sorting of all cores, wall cores, and cuttings images of the well to obtain the maximum depth range of the whole well;
[0043] S204. Obtain the maximum horizontal resolution of the whole well, which is mainly used to determine the maximum display width of the browser DIV element;
[0044] S205. Acquire the DPI of the client screen, which is used to calculate the actual display ratio of each thumbnail and segmented image, so as to realize the variable ratio display of the original core image;
[0045] S206. Calculate the position from the top o...
Embodiment 3
[0059] On the basis of Examples 1 and 2, the identification and display of core samples and analysis and test data are realized, as shown in the attached image 3 As shown, the specific steps are as follows:
[0060] S301. Read the experimental item information, according to the well number specified in S201, read all the rock sample sampling and analysis test item information of the well, including the analysis test item type and depth, etc.;
[0061] S302. Calculate the pixel position of the sample depth in the thumbnail (centimeter level), and calculate the pixel position of each rock sample on the depth axis of the thumbnail through the depth data of the rock sample, combined with the image resolution and screen DPI, for research The personnel can quickly obtain the depth range of all analytical tests in the well;
[0062] S303. Draw a sample mark on the thumbnail, and mark all the rock samples with a translucent color on the thumbnail after positioning through depth calc...
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