圖像分割外文翻譯---一種在線圖像編碼識別系統(tǒng)的設(shè)計(參考版)
2025-05-17 14:42本頁面
【正文】 ④ It will assign the figure corresponds to the template and the center of the pixel. The most monly used nonlinear smoothing filter is median filter, it will all of the values of the region are sorted according to size, will be sorted in the middle of the pixel values given to the center pixel. Median filter can effectively remove the random noise, can get a better visual effect. Edge detection coding Edge is the result of discrete gray value can be used to request the first and second derivative method to detect. Because the derivative of the edge of a large area, rather than the local derivative of the edge of the small. As the digital image is discrete, not the derivative, convolution method can replace the differential with the differential approximation. Is better Sobel edge detection algorithm is operator. Sobel operator is a gradient amplitude 22 yx ssM ?? , respectively, using vertical operator Sx, Sy operator to obtain the level of the coding region of the vertical edges and horizontal edges, that is, the horizontal and vertical directions as shown in Figure 3 using two different volumes product template, get the edge as shown in Figure 4 results. Figure 2 smoothing filter template Figure 3 Sobel edge detection template Figure 4Sobeledgedetection operator Image Rectification Hough transform can detect the coding region of the image angle, the angle of rotation according to the coding region of the image transformation can be corrected. Hough transform to the image space XY of the line (y = px + q) parameter space detection problem is transformed into the midpoint of detection PQ, PQ in the parameter space, the establishment of a cumulative array Sum (p, q), for each given the edge in image space, let p taken over all possible values, according to linear 1 2 1 0 0 0 1 2 1 1 0 1 2 0 2 1 0 1 equation q = xp + y to calculate the corresponding q, on the Sum (p, q) to accumulate, by Sum (p, q) the value of the is the (p, q) point total of the number line, (p, q) is the image space in the value of the slope and intercept, obtained by the slope angle of the edge image coding standard. Character Cutting Coded character area on the level of scanning directly from the character spacing can generally be out of character segmentation. Can also be done by coded character area vertical projection operation, according to the character width and character less the total number of characters to be cut. Figure 5 is a coded character areas and the corresponding vertical projection. Figure 5 encoded characters and the corresponding Figure 6 Schematic diagram of vertical projection linear interpolation Character normalization The character of the segmented into four scans to determine the character boundaries, and then use linear interpolation for each character for normalized so that each character is normalized to 32 16 lattice. Figure 6 Schematic diagram of linear interpolation, according to linear theory, f (x1) by the formula (2) Calculation: )()))(()(()( 002 01021 xfxx xxx
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