In response to the problem that the current image processing technology and underwater target recognition algorithms are not yet mature enough in the field of underwater archaeology, this article innovatively applies object detection and underwater image clarity technology to the field of underwater archaeology. We propose a method for detecting and recognizing underwater cultural heritage based on optical devices. The method includes ocean image preprocessing and underwater cultural heritage object recognition based on YOLO V4. The results of experiments demonstrate that the proposed method can effectively and accurately detect and recognize targets in the underwater cultural heritage scene, and the clear image of the underwater relics after image preprocessing can better assist archaeologists in observing the species and distribution of samples in the real scene.
Due to the complex and varying underwater environment, the optical images obtained are low resolution and full of noise, which ultimately make it difficult to register and stich the optical images. To solve the above problems, we propose an improved image registration method based on MSRCR and SIFT. First, multi-scale retinex with color restoration (MSRCR) is applied to improve the underwater low-quality image, and the image contrast is improved by contrast limited adaptive histogram equalization (CLAHE). After that, the scale-invariant feature transform (SIFT) algorithm is adopted to extract feature points of the reference image and sensed image. Then coarsely match the feature points based on the K nearest neighbor (KNN)-based Ratio Matching algorithm, and the random sample consensus (RANSAC) is used to eliminate mismatched feature points and improve matching accuracy. Finally, the mosaic image is output after the transformation matrix is calculated. The experiment results show a better effect of underwater image registration and stitching, demonstrating that the algorithm can improve the accuracy of underwater image registration through image enhancement.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.