scholarly journals Development significance and structure analysis of sports video image analysis system based on VR

2021 ◽  
Vol 1982 (1) ◽  
pp. 012125
Author(s):  
Xianming Chen
1996 ◽  
Vol 25 (1) ◽  
pp. 93-94 ◽  
Author(s):  
Saeid Razee ◽  
Atsushi Tamura ◽  
Masumeh Khademizadeh ◽  
Tsutomu Masujima

1983 ◽  
Vol 57 (4) ◽  
pp. 908-917 ◽  
Author(s):  
H. R. Cross ◽  
D. A. Gilliland ◽  
P. R. Durland ◽  
S. Seideman

1991 ◽  
Vol 25 (7) ◽  
pp. 1211-1225 ◽  
Author(s):  
J.T. Lee ◽  
Darrell L. Call ◽  
Robert E. Lawson ◽  
William E. Clements ◽  
Donald E. Hoard

1987 ◽  
Vol 14 (2) ◽  
pp. 74-79 ◽  
Author(s):  
T. B. Whitaker ◽  
J. W. Dickens ◽  
A. B. Slate

Abstract A video image analysis system was designed to quantitatively measure the amount of specks and the color of peanut butter samples for grade purposes. The video image of a peanut butter surface 5.8 cm by 5.8 cm was captured and converted into 384 by 384 picture elements (pixels). The intensity of each of the 147,456 pixels was classified into one of 256 shades of gray from zero for black to 255 for white. The percent of total pixels that represented specks was defined as the speck index. The aveage shade of gray of all 147,456 pixels was defined as the color index. The speck and color indices were computed for 52 peanut butter samples that had been graded by experienced Agricultural Marketing Service (AMS) inspectors. The speck and color indices were both in good agreement with the AMS speck and color classifications assigned to the samples by the AMS inspectors.


2003 ◽  
Vol 81 (5) ◽  
pp. 1193-1201 ◽  
Author(s):  
E. K. McClure ◽  
J. A. Scanga ◽  
K. E. Belk ◽  
G. C. Smith

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