K-L transform-based method for detecting saliency of small object on sea

A detection method and K-L transformation technology, applied in the field of computer vision and image processing, can solve the problems of inapplicability of prior information to small targets, complex algorithms, inapplicability, etc., to achieve the effect of background suppression

Active Publication Date: 2017-09-15
SHANGHAI MARITIME UNIVERSITY
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the main problems of the existing methods are: the performance of the algorithm is constantly improving, but the algorithm is complex and not easy to apply in real time; it mainly solves the problem of saliency detection of large targets in natural scenes, and only some scholars have discussed the classificatio

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • K-L transform-based method for detecting saliency of small object on sea

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

[0032] like figure 1 As shown, the present invention provides a kind of sea small target saliency detection method based on K-L transformation, comprises the following steps:

[0033] Step S1: Extract a feature map of brightness channel and two feature maps of color channel in CIELab space of visible light image of sea scene;

[0034] Step S2: performing Fourier transform on each channel obtained in step S1 to obtain its amplitude spectrum and phase spectrum respectively;

[0035] Step S3: performing K-L transformation on the amplitude spectrum of each channel obtained in step S2;

[0036] Step S4: For the K-L transformation result of the amplitude spectrum of each channel obtained in step S3, s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a K-L transform-based method for detecting saliency of a small object on the sea. The method comprises: S1, extracting a brightness channel feature graph and two color channel feature graphs in seaborne scene visible image CIELab space; S2, carrying out Fourier transform on all channels obtained by the S1 to obtain amplitude spectra and phase spectra; S3, carrying out K-L conversion on the amplitude spectra, obtained at the S2, of all channels; S4, selecting main components of K-L transform results, obtained at the S3, of the amplitude spectra of the respective channels according to features of a seaborne image data set, and calculating a differential spectrum matrix of all amplitude spectra; S5, combining the differential spectrum matrix, obtained at S4, of all channels with all original amplitude spectra to carry out inverse discrete Fourier transform, thereby obtaining saliency maps of all channels; and S6, calculating a total saliency map by using a dynamic weighting method. According to the invention, small targets are highlighted and a background is suppressed, so that small target detection and tracking on the sea are realized.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to a method for detecting the saliency of small sea targets based on Karhunen-Loève (K-L) transformation. Background technique [0002] The detection and tracking of small targets in maritime scenes has always been a difficult point in the field of computer vision, and the detection and tracking of such targets is a key issue in the fields of maritime video surveillance and shipwreck search and rescue. [0003] In the past two decades, the research on the human visual attention mechanism has been a hot topic in the field of computer vision and image processing, and has been applied in many technical fields. Saliency detection is one of the core issues of its research, which mainly revolves around how to measure and calculate saliency from two perspectives of image and video features or combined with prior information. Saliency detection methods based on image fe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
CPCG06F18/213
Inventor 任蕾彭静冉鑫王胜正
Owner SHANGHAI MARITIME UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap