Mixed measurement-based video data panoramic imaging method
A technology for video data and wide-view imaging, applied in the field of image processing, can solve the problems of low precision and low execution efficiency of wide-view imaging, and achieve the effect of increasing robustness, satisfying real-time performance, and ensuring accuracy
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specific Embodiment approach 1
[0036] Specific implementation mode one: the following combination Figure 1 to Figure 4 To describe this embodiment,
[0037] The present invention is achieved through the following technical solutions:
[0038] First, set the initial sampling step size, collect two frames of images from the video image data, and judge the validity of frame scanning and frame splicing respectively to identify whether the performance of the sampling frame meets the requirements of wide-view imaging. After meeting the requirements, the two sampled feature frames are registered. Here, a two-step registration method from coarse to fine is used. First, the mutual information measurement is used for coarse registration, and then the background of the image is removed to reduce noise interference. And take the obtained registration displacement as the initial value, use the gradient correlation method to carry out precise registration in its neighborhood, and finally use the gap gradient weighted f...
specific Embodiment approach 2
[0116] Specific implementation mode two, this embodiment mode combines Figure 1 to Figure 11 Given a specific example,
[0117] In order to evaluate the proposed method for wide-view imaging of video data based on mixed measures, we take an ultrasound scan video of human tissue collected in real time from clinical equipment as an example. The video has a total of 293 frames of images, and the size of each frame is 461*421 pixels. , the pixel value is an 8-bit unsigned integer value.
[0118] Execute Step 1: Set the initial sampling step size , extract the first frame and second frame image data from the video data, such as Figure 5 shown.
[0119] Execute step 2: perform sampling frame performance evaluation on two frames of images. First evaluate its scanning effectiveness, setting the "pixel threshold" , set the "statistical threshold" , the statistics show that both images satisfy The conditions can be used for wide-view imaging processing. Then evaluate the s...
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