QMap - Image Split

It is sometimes useful to divide an image into many smaller images on a regular basis. Especially for many large images, the processing efficiency is low, so image segmentation is still necessary. This unit provides two ways of dividing by row and column or by width and height, and can set the left and right upper and lower margins. The naming method of the divided sub-images can also be selected, which is beneficial to management, merging and restoration. The main use of segmentation is for printing and advertising.

Now according to the software function interface, the introduction is as follows:

1. Choose main image name
    Click the right mouse button on the image, select the main image, and the image name will be displayed in the corresponding edit box. The suffix of the main image name is removed as the sub-image name, and all sub-images after segmentation start with this name, and a regular string is appended to form a complete image name. The default subimage name can be modified in the edit box.

2. Split image by row, column or width and height
    By default, the image is split by 2 rows and 2 columns. Toggle the split method by selecting the round button.

3. Margins and Indents
    "Margins and Indents" means putting a margin around the border on the main image before splitting the image. By default, the Margin and Indent values are both 0.

4. Sub-image naming method
    The full subimage name consists of three parts:
    1) Sub-image name: It is obtained by removing the suffix name from the main image file name, and the name can also be customized.
     2) Coordinate feature expression string: Indicates the coordinate position of the sub-image in the main image. Determine whether it is (X, Y) or (Y, X) coordinate method, the default is "(Y, X) coordinate expression". Then determine whether the value of the coordinate is the position of the sub-image in the main image, or the value of the Sequence. The default is "Sequence as part of filename".
     3) The specific value of the coordinates: Corresponding to the meaning of "coordinate feature expression string", the value of each sub-image is given.

5. Example of sub-image naming
    a) There are 4 sub-image names, such as:  24__SYX__0__0.jpg, 24__SYX__0__1.jpg, 24__SYX__1__0.jpg, 24__SYX__1__1.jpg.
    It can be seen that these are images divided by the main image named 24.jpg. "S" means that the coordinates are the Sequence, "YX" means that the coordinates are stored in (Y, X), and the last two values such as "1__0" represent the sequence of the sub-image in the main image. The coordinate value is X=0, Y=1.

    b) There are 4 sub-image names, such as: 24__LXY__0__0.jpg, 24__LXY__0__1327.jpg, 24__LXY__1224__0.jpg, 24__LXY__1224__1327.jpg.
It can be seen that this is an image obtained by dividing the main image named 24.jpg. "L" means that the coordinates express the coordinate position, "XY" means that the coordinates are stored in (X, Y), and the last two values such as "1224__1327" represent the position of the sub-image in the main image, and the upper-left corner coordinate value is X=1224 , Y=1327.

6. Process
    Click the "Process" button, select the sub-image storage folder, and start processing.








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