Multi-scale variable-step autofocusing searching algorithm data transmission device and method
A technology of automatic focus search and variable step size, which is applied to color TV parts, TV system parts, TVs, etc., and can solve problems such as focus failure
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Embodiment 1
[0043] see Figure 1 to Figure 6(b) As shown, a multi-scale variable step size automatic focus search algorithm data transmission device of the present invention includes: driving the lens to perform multiple searches on the entire search area, gradually reducing the search range and search step size, and determining by curve fitting The highest point of the curve, so that the searched focus position is as close as possible to the real focus point; the threshold setting is used to compare the two search positions before and after to determine whether the search step is completed; in the multi-scale search process, each search The search position where the maximum evaluation value is located is used as the center point of the next search interval to search for a symmetrical interval to ensure that the real focal point is included in this interval.
[0044] Furthermore, the described multi-scale variable step-size automatic focus search algorithm includes the following steps:
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Embodiment 2
[0067] During the focusing process, each time the lens advances by one step, an image is collected. In this embodiment, the “brake pad boss” is used as the focus object, and the area to be searched for the first time is a focus window cut at the center of the image with a size of 320×320. Figure 2(a) and Figure 2(b) show two images with different focusing conditions, which are blurred and clear images collected from the brake pad boss respectively. The sharpness evaluation algorithm used in this embodiment adopts Brenner operator.
[0068] The optimal magnification of the test platform used in this embodiment is 3, the optimal light intensity under this condition is 35, and the real focus position is at -74.6990 of the lens. image 3 The sharpness evaluation value curve under ideal test conditions is given, which has the characteristics of single peak and sharpness.
[0069] Figure 4(a) shows the fitting process of the last step of this search method. In the figure, the blac...
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Abstract
Description
Claims
Application Information
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