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Region-Based Gradient and Its Application to Image Segmentation

원문정보

초록

영어

In this study, we introduce a new image gradient computation based on understanding of image generation. Most images consist of groups of pixels with similar color information because the images are generally obtained by taking a picture of the real world. The general gradient operator for an image compares only the neighboring pixels and cannot obtain information about a wide area, and there is a risk of falling into a local minimum problem. Therefore, it is necessary to attempt to introduce the gradient operator of the interval concept. We present a bow-tie gradient by color values of pixels on bow-tie region of a given pixel. To confirm the superiority of our study, we applied our bow-tie gradient to image segmentation algorithms for various images.

목차

Abstract
1. Introduction
2. Bow-tie Gradient Operator
3. Experimental Results
4. Conclusion
References

저자정보

  • Hyoung Seok Kim Department of Applied Software Engineering, Dong-eui University, Korea

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