Self-adaptive image processing method for underwater distance gating imaging

Abstract

The invention belongs to the technical field of underwater photoelectric imaging, and discloses an adaptive image processing method for underwater distance gating imaging, which comprises the following steps of: 1, acquiring a frame of image of an underwater distance gating imaging system; 2, performing filtering processing on the obtained original image, and storing the filtered image data; 3, counting a gray histogram of the filtered image, searching an extreme point in the histogram, and determining an object gray interval of subsequent reinforcement processing; 4, expanding the interval asa target gray interval according to the image enhancement processing object gray interval determined in the step 3; and 5, performing piecewise linear enhancement on the filtered image according to the object and the target interval gray value determined in the step 4, and performing linear compression on pixel values in other gray ranges. According to the technical scheme, parameters needed by image processing are automatically generated, and the parameters needed by image processing are automatically maintained according to changes of the image environment. The real-time performance of image processing is ensured, and the detail effect of the image is effectively improved.

Description

technical field [0001] The invention belongs to the field of underwater photoelectric imaging technology. The image processing technology developed can automatically deal with the problems of high noise and poor contrast in the image formed by underwater range gating in real time, which changes the problem of poor real-time performance caused by traditional imaging storage and post-transmission processing. The processing method can be applied to many fields such as underwater target detection, underwater environment monitoring, and underwater engineering operations, and has broad application prospects. Background technique [0002] Underwater range-gated imaging is based on underwater photoelectric detection technology, using the method of time marking to distinguish the laser pulse echo reflected by the target from the backscattering of the water, so that the laser pulse echo with target information is exactly Arrives at the camera within the gate open time of the gated cam...

AI Technical Summary

Problems solved by technology

For the video images acquired by the underwater range-gated imaging system, there are currently two main image processing methods: (1) The imaging system integrates fixed image processing technology, and the ideal processing effect can only be achieved under specific lighting and water quality environments , after changing the working environment, the image processing effect decreases or the image processing parameters need to be manually adjusted to adapt to the change of the working environment, which is not conducive to the dynamic imaging of the system; However, most underwater imaging systems do not immediately process the image, but store the acquired original video image and transmit it to the background computer. The background computer designs special image processing software for denoising and enhancement processing. The development of image software is carried out on the two platforms of chip and PC respectively, which increases the complexity of development

[0004] Since many underwater works, such as underwater pipeline operations, are almost entirely dependent on video images acquired in real time, there are high requirements for image quality and real-time performance of images. Therefore, if the above-mentioned image processing methods are not improved, they will become underwater. Restricting factors for the further application of range-gated imaging, limiting the further development of underwater range-gated imaging

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