Abstract—In this paper, a full color natural image region segmentation method with no limitation to the number of regions and the complexity of the area was proposed, and the effectiveness was confirmed by some natural image pictures.
Automatic natural image region segmentation continues to be in high demand for a long time and this difficulty mainly depend on the large difference between the region division by the human perception and the result of the calculation theory approaches based on the color extraction. Also, the many region segmentation algorithms could work in the case of binary image. The proposed the mathematical procedure that (1) always area segmentation can be realized by only two times scan lines even an image took complex shapes, (2) it does not depend on the number of regions and (3) color and brightness evaluation functions are introduced. Experimental result shows that the proposed method can divide many complex shape areas which the number of regions is uncertain and our method can divide many objects with gradation patterns correctly in the natural full color image. Our method will reduce the complexity of the problem of recognition especially for the complexity growing by increasing the number of objects. It will play basic role for many image processing study fields.
Keywords—Two times scan line algorithm, full color natural image region segmentation, clustering algorithm, nolimitation of segmentation areas.
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