Side-scan sonar image statistical enhancement algorithm based on boundary constraint
A boundary-constrained, side-scan sonar technology, applied in image enhancement, computing, image data processing, etc., can solve problems such as poor image gain effect, and achieve the effect of eliminating poor gain effect and poor image resolution
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Embodiment 1
[0031] The segmented area of the side-scan sonar image is a part of the image cut out from the overall image. The image cut from the side-scan sonar image will result in a relatively concentrated pixel range of the whole image, poor image resolution, and the acquired image may not have been corrected by gain, or After gain correction, but the effect of gain correction is not satisfactory. This algorithm uses the longitudinal statistical law of side scan sonar as a constraint condition, and can solve this problem under a unified framework.
[0032] figure 1 is the image directly intercepted from the side-scan sonar image in this embodiment, and in this embodiment figure 1 is uncorrected by the original gain, image 3 yes figure 1 The characterization function, combined with figure 1 and image 3 , it can be seen that the difference between the target and the background is small, the recognition degree is not high, the overall pixel range of the image is relatively concent...
Embodiment 2
[0046] Figure 5 is the image directly intercepted from the side-scan sonar image in this embodiment, and in this embodiment Figure 5 is uncorrected by the original gain, Figure 7 yes Figure 5 The characterization function, combined with Figure 5 and Figure 7 , it can be seen that the difference between the target and the background is small, the recognition degree is not high, the overall pixel range of the image is relatively concentrated, the background pixels are not uniform and have large discrepancies, and the pixels involved in the target object are not much different from the background pixels. The poor image quality and low image resolution have caused certain difficulties in image segmentation and target recognition.
[0047] Figure 6 is the image processed by this algorithm, Figure 8 yes Figure 6 The characterization function of Figure 5 and Figure 6 ,As can be seen, Figure 6 The picture quality is significantly improved, the gain effect is obvi...
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