International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Region-Based Gradient and Its Application to Image Segmentation

  • Received : 2018.10.08
  • Accepted : 2018.10.21
  • Published : 2018.12.31
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Abstract

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.

Keywords

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Figure 1. Separation of objects from background

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Figure 2. Detection of Multiple objects

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Figure 3. Bow-tie region

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Figure 4. Brightness computation in bow-tie regions

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Figure 5. Experimental results 1.

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Figure 6. Experimental results 2.

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Figure 7. Experimental results 3.

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