Side-scan sonar image statistical enhancement algorithm based on boundary constraint
A boundary-constrained, side-scan sonar technology, applied in image enhancement, calculation, image data processing and other directions, can solve problems such as poor image gain effect, and achieve the effect of eliminating poor gain effect and solving poor image resolution
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Embodiment 1
[0031] The segmentation area of the side-scan sonar image is a part of the image taken from the overall image. The image taken from the side-scan sonar image will result in a relatively concentrated overall pixel range and poor image resolution. The acquired image may not be gain corrected, or After gain correction, the effect of gain correction is not ideal. This algorithm uses the longitudinal statistical law of side-scan sonar as a constraint, and can solve this problem under a unified framework.
[0032] figure 1 is the image directly captured from the side scan sonar image in this embodiment. figure 1 is uncorrected by the original gain, image 3 Yes figure 1 The characterization function of , combining 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 concentrated, the background pixels are not uniform and have large discre...
Embodiment 2
[0047] Figure 5 is the image directly captured from the side scan sonar image in this embodiment. Figure 5 is uncorrected by the original gain, Figure 7 Yes Figure 5 The characterization function of , combining 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 pixel part involved in the target object is not very different from the background pixels, which leads to The image quality is poor and the image resolution is low, which causes certain difficulties for image segmentation and target recognition.
[0048] Image 6 is the image processed by this algorithm, Figure 8 Yes Image 6 The characterization function of , contrast Figure 5 and Image 6 ,As can be seen, Image 6 The quality of the picture is obviously improved, the gain...
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