Method and device for image type identification
A picture type, picture technology, applied in the field of social applications, can solve the problems of multi-traffic, slow loading of long text and pictures, large storage space, etc., to reduce the consumption of traffic, improve the probability of being read, and expand the effect of communication.
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Embodiment 1
[0074] Embodiment one, figure 2 It is a flow chart of picture type identification shown according to an exemplary embodiment 1, see figure 2 , the process of picture type identification in this embodiment includes:
[0075] Step 201: Perform binarization on the released picture, and scan the binarized picture line by line, determine the sum of the row pixel values of each row of pixels, and select the pixel row whose sum of row pixel values in the picture is greater than the first preset value It is determined as a candidate text line, and all adjacent candidate text lines are connected to form a corresponding adjacent region of the candidate text line.
[0076] Similarly, the Otsu algorithm can be used to binarize the picture, the background pixel value is 0, and the foreground pixel value is 1. Then, the binarized picture is scanned line by line, and the pixel values of each row of the binarized picture are respectively accumulated to obtain the sum of the row pixe...
Embodiment 2
[0091] Embodiment two, image 3 It is a flow chart of picture type identification shown according to a second exemplary embodiment. see image 3 , the process of picture type identification in this embodiment includes:
[0092] Step 301: Perform binarization on the released picture, and scan the binarized picture line by line, determine the sum of the row pixel values of each row of pixels, and select the pixel rows whose sum of row pixel values in the picture is greater than the first preset value It is determined as a candidate text line, and all adjacent candidate text lines are connected to form a corresponding adjacent region of the candidate text line.
[0093] Similarly, the Otsu algorithm can be used to binarize the picture, the background pixel value is 0, and the foreground pixel value is 1. Then, the binarized picture is scanned line by line, and the pixel values of each row of the binarized picture are respectively accumulated to obtain the sum of the row ...
Embodiment 3
[0125] Embodiment three, Figure 5 It is a structural diagram of a device for identifying picture types according to an exemplary embodiment 3, see Figure 5 In this embodiment, the device includes: a scan processing unit 410 , a connection unit 420 , a determination unit 430 , and an identification unit 440 , and also includes a reminder unit 450 and a down-frequency processing unit 460 .
[0126] Specifically, the scan processing unit 410 performs binarization on the released picture, and scans the binarized picture row by row to determine the sum of row pixel values of each row of pixels.
[0127]The connecting unit 450 determines a pixel row in the picture whose sum of row pixel values is greater than a first preset value as a candidate text row, and connects all adjacent candidate text rows to form a corresponding candidate text row adjacent region. In this way, the determining unit 430 determines, according to the height of each candidate text line adjacent area, th...
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