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 execution efficiency and low-precision wide-view imaging, and achieve the effect of satisfying real-time performance, increasing robustness, and ensuring accuracy
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specific Embodiment approach 1
[0036] Specific implementation mode 1: the following combination Figure 1 to Figure 4 Describe this embodiment,
[0037] The present invention is realized 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, and verify After meeting the requirements, the two sampled feature frames are registered. Here, the two-step registration method from coarse to fine is adopted. The mutual information measure is used for coarse registration, and then the background of the image is removed to reduce noise interference. Using the obtained registration displacement as the initial value, the gradient correlation method is used for accurate registration in its neighborhood. Finally, the gap gradient weighted fusion method is used ...
specific Embodiment approach 2
[0116] Specific embodiment two, this embodiment combines Figure 1 to Figure 11 Give a specific example,
[0117] In order to evaluate the proposed hybrid measurement-based wide-view imaging method for video data, we take a piece of human tissue ultrasound scan video 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] Perform step 1: Set the initial sampling step , To extract the first and second frame image data from the video data, such as Figure 5 Shown.
[0119] Perform step 2: Perform sampling frame performance evaluation on two frames of images. First evaluate its scanning effectiveness and set the "pixel threshold" , Set the "statistical threshold" , According to statistics, both images satisfy The conditions can be used for wide-view imaging processing. Then the stitching effectiveness of the two frames o...
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