Abstract
Some algorithms of feature extraction in existing literature studied for image processing was the gray image with one-dimensional parameter. However, some feature points’ extraction for three-dimensional color of polar image, such as the color edge extraction, inflection points, and so on, was urgently to be solved a polar color problem. For achieving quickly and accurately the color feature extraction to polar image, this paper proposed a similar region of color algorithm. The algorithm was compared to polar image, and the effect to color extraction was also described by the combination of the proposed and existing algorithms. Moreover, this paper gave the comparison of the proposed algorithm and an existing classical algorithm to extraction of color feature. These researches in this paper provided a powerful tool for polar image classification, color feature segmentation, precise recognition, and so on.
Highlights
More and more color image data grew at present
For achieving quickly and accurately the color feature extraction to polar image, this paper proposed a similar region of color algorithm
In order to search for valuable information from color image quickly, such as extraction of edges and corner points with three dimensional parameters, this paper presents a color extraction algorithm for polar image which is called a similar region of color algorithm, and gives the comparison and experiment of the proposed and existing algorithms for polar color distribution
Summary
More and more color image data grew at present. Since the color image included a lot of information characteristics, it was widely used and concerned, for example, hospital surgeon surgery, the surgeons were often carrying out operation positioning with the help of images for operating some surgeries. The arctic and polar scientific research department collected various polar data need carry out an effective feature extraction, fine classification, arctic environmental control, resource protection, rational development of resources, and resource regeneration and other scientific research to establish a reasonable database based on these color pictures. These problems need to develop color image edge, corner and other feature extraction methods. The two algorithms were applied to the classification and recognition of polar image
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
