A method for image segmentation of ships in sea and sky background based on joint image information
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A ship image and image information technology, applied in ship image segmentation, ship image segmentation in the sea-sky background based on joint image information, can solve the problem of reduced segmentation accuracy
Active Publication Date: 2022-06-17
HARBIN ENG UNIV
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[0005] In view of the above-mentioned prior art, the technical problem to be solved by the present invention is to provide a ship image segmentation method under the sea-sky background based on joint image information that can solve the problem of reduced segmentation accuracy in the ship image segmentation under the sea-sky background by using the existing segmentation algorithm
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specific Embodiment approach 1
[0071] This embodiment is a method for segmenting ships in the sea-sky background based on joint image information; in this embodiment and examples, part of the data set used is from the Singapore Maritime Dataset (SMD), and the other part comes from the RoCoCo experiment of the University of Rome The Maritime Detection, Classification, and Tracking Dataset (MarDCT) created by the laboratory, the remaining small part comes from the network.
[0072] The ship segmentation method in the sea-sky background based on joint image information includes the following steps:
[0073] Step a: Preprocess the image:
[0074] Perform normalization and image scaling operations on all images;
[0075] The purpose of the normalization operation is to prevent the saturation of the neuron output due to the excessively large absolute value of the net input;
[0076] The image scaling operation is used because the inconsistent image size is not friendly to training neural networks. In this embo...
Embodiment 1
[0106] In this embodiment, the present invention is described by taking a ship image under a normal sea and sky background and a ship image under sea fog as examples.
[0107] Specifically, follow these steps:
[0108] 1. Data preparation stage
[0109] All the data used for training and testing used in this embodiment 1 come from SMD, MarDCT (this data set is well known to those skilled in the art, and is not repeated in this embodiment of the present invention) and the network. All data were manually labeled using LabelMe. The reorganized ship database was later called Mari-Data. Since the present invention needs to train the interference factor discriminator and the ship extractor separately, the training data set is also divided into two parts.
[0110] For the data of the interference factor discriminator, this embodiment only considers the sea fog scene that has the most serious impact on the accuracy, thereby improving the overall segmentation accuracy. Therefore, th...
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Abstract
The present invention relates to a ship image segmentation method under the sea-sky background based on joint image information. For the ship image to be segmented, the present invention first uses a trained interference factor discriminator to distinguish the environment type corresponding to the ship image; then uses the environment The ship extractor corresponding to the type performs segmentation and extraction of ships; the classification network based on the neural network is used to construct the interference factor discriminator; the training set is used for training to obtain the trained interference factor discriminator; the segmentation network based on the neural network is used to construct different environments The ship extractor under the model; the ship images in each environment in the training set are used to train separately, and the trained ship extractors corresponding to the ship images in different environments are obtained. It is mainly used for segmentation and extraction of ships in images. Solve the problem that the segmentation accuracy of the ship image segmentation under the sea and sky background is reduced by using the existing segmentation algorithm.
Description
technical field [0001] The invention relates to a ship image segmentation method, in particular to a ship image segmentation method under the background of sea and sky based on joint image information, and belongs to the field of digital image processing. Background technique [0002] Image segmentation belongs to a branch of digital image processing and is an important and challenging digital image processing task. Its main purpose is to extract the region of interest in an image. In general, image segmentation is currently widely used in image compression, image retrieval, medical diagnosis, object recognition, video surveillance, and autonomous driving systems. [0003] Existing image segmentation algorithms are mainly divided into the following categories: threshold-based segmentation algorithms, edge-based segmentation algorithms, region-based segmentation algorithms, superpixel-based segmentation algorithms, and specific theory-based segmentation algorithms. Among th...
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