Image processing method used for segmenting and grading beef musculi oculi marbling
A marble pattern and image processing technology, applied in image data processing, image analysis, character and pattern recognition, etc., can solve the problems of high rating cost, low efficiency, and inconsistency in the subjectivity of manual rating methods, and achieve high rating cost , solve the subjectivity and inconsistency, the effect of good market application prospects
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Embodiment 1
[0050] This embodiment describes the specific steps in detail.
[0051] (1) Image segmentation of beef eye muscle section
[0052] Specifically include the following steps:
[0053] 1. Carry out image gray-value conversion to the color image of beef eye muscle cut surface obtained by digital camera, and obtain the gray-scale image of eye muscle cut surface (such as figure 2 ).
[0054] 2. Utilize the Otsu method (Otsu) to process the grayscale image of the eye muscle section to obtain a binary image of the eye muscle section (such as image 3 ).
[0055] 3. Marking connected regions on the binary image of the eye muscle section.
[0056] 4. Find the connected area mark corresponding to the central point area of the grayscale image of the eye muscle section, set the corresponding grayscale image pixels of the eye muscle section under this marked area as the foreground, and clear all the pixels in the other marked areas As the background, get the initial area image of th...
Embodiment 2
[0112] Repeat steps (1) and (2) in Example 1 for 18 sample images with typical beef marbling grades to obtain the beef marbling grade (MB) and eye muscle fat ratio (P) of 18 groups of sample images , eye muscle large fat block ratio (Q), box counting dimension (Db), and information dimension (Di) corresponding relationship data, as shown in Table 1:
[0113] Table 1 Correspondence data of MB, P, Q, Db, Di of 18 groups of sample images
[0114]
[0115]
[0116] According to the corresponding relationship data between the marbling grade (MB) of the sample image and the proportion of eye muscle fat (P), the proportion of eye muscle large fat mass (Q), and the box dimension (Db), the following equations can be established:
[0117]
[0118] Determination of regression coefficient β by least square method 0 , β 1 , β 2 , β 3 . Finally, the multiple linear regression equation of beef marbling grade was established as follows:
[0119] MB=5.820P+12.496Q-0.385Db+0.0527...
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