A Fast Segmentation Method for Active Contour Model Images Based on Gray Scale Morphological Energy Method
An active contour model and gray-scale morphology technology, applied in the field of image processing, can solve the problems of sensitive initial contour selection, low segmentation efficiency, time-consuming calculation process, etc., achieve insensitive shape and position settings, and improve curve evolution efficiency. Effect
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Embodiment 1
[0081] In this experiment, the actual figure 2 As the grayscale image I to be segmented, its size is 168*158 pixels. The parameters in the experiment are set as follows: a 0 =1, ε=1, μ=2, υ=0.2×255 2 ,λ 1 =λ 2 =1, Δt=0.1, n=300, the structural element b is a disk with a radius of 5. The initial evolution curve is as image 3 As shown, its shape is a square with a centroid of (75, 95) and a side length of 40. Execute step 1) to step 8), Figure 4 is the result graph when iterating 10 times, Figure 5 is the result graph when iterating 50 times, Image 6 is the final segmentation result map when iterating 300 times, from Image 6 It can be seen that the present invention can effectively segment images with uneven gray levels, and has high accuracy.
Embodiment 2
[0083] Figure 7 ~ Figure 10 is processed using the classic RSF model figure 2 The obtained final segmentation result map, the parameters of the RSF model are set as follows: a 0 =1, ε=1, μ=2, υ=0.05×255 2 ,λ 1 =λ 2 = 1, Δt = 0.1, scale parameter σ = 3, the white square curve represents the initial profile, Figure 7 ~ Figure 10 The initial contours of are all squares with a side length of 40, but the positions of the centroids are different, respectively (85, 90), (35, 85), (75, 40) and (75, 130), and the white irregular curve indicates the final segmentation result.
[0084] Figure 11 to Figure 14 is to use the present invention to process figure 2 The final segmentation result figure that obtains, each parameter of the present invention is set as follows: a 0 =1, ε=1, μ=2, υ=0.2×255 2 ,λ 1 =λ 2 =1, Δt=0.1, the structural element b is a disk with a radius of 5. The white square curve represents the initial contour, Figure 11 to Figure 14 initial profile with...
Embodiment 3
[0088] Figure 15 ~ Figure 22 It uses the present invention to continuously process 30 frames of image sequences and display the final segmentation results of the first frame, the fifth frame, the ninth frame, the 13th frame, the 17th frame, the 21st frame, the 24th frame, and the 29th frame , the size of each frame of pictures is 192*240 pixels, and each parameter of the present invention is set as follows: a 0 =1, ε=1, μ=2, υ=0.4×255 2 ,λ 1 =λ 2 = 1, Δt = 0.1, the structural element b is a disk with a radius of 5, which is displayed once per frame, and the time is 10.034 seconds. The initial outline of the first frame is a square with a side length of 40, and the centroid is at (75, 130), the white square curve represents the initial outline of the first frame of pictures, and then each frame of pictures is the final segmentation curve of the previous frame as the initial outline of this frame, the number of iterations n=150 of the first frame of pictures, and then each ...
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