IMAGE SEGMENTATION COMBINING EDGE AND TEXTURE INFORMATION

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CHAJI N.; GHASEMIAN H.

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Paper Information

Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2005 | Volume:3 | Issue:1 (a) Page(s): 1-10

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Information Journal Paper

Title

IMAGE SEGMENTATION COMBINING EDGE AND TEXTURE INFORMATION

Author(s)

CHAJI N. | GHASEMIAN H. | Issue Writer Certificate

Keywords

IMAGE SEGMENTATIONQ4

EDGE ANALYSISQ4

TEXTURE ANALYSISQ2

HUMAN VISUAL SYSTEMQ2

WATERSHED TRANSFORMQ3

Abstract

The WATERSHED TRANSFORM is a conventional tool for the segmentation of images. Watershed segmentation is often not effective for textured image regions that are perceptually homogeneous. In this paper we describe a new IMAGE SEGMENTATION algorithm that integrates the measure of spatial variations in texture with the intensity gradients and consists of a number of conceptual stages. In the first stage, texture representation is calculated using vector summation of complex cell responses in different preferred orientations. In the second stage, gradient images are computed for each of the texture features, as well as for grey scale intensity. These gradients are efficiently estimated using a new proposed algorithm based on a hypothesis model of the HUMAN VISUAL SYSTEM. After that, combining these gradient images, a region gradient which highlights the region boundaries is obtained. WATERSHED TRANSFORM of the region gradients properly segment the identified regions. Adaptive thresholding on rotational texture features is used to the problem of over segmentation. The combined algorithm produces effective texture and intensity based segmentation for natural and textured images.

Cites

IKONOS-SPATIAL INFORMATION AND SPOT-SPECTRAL INFORMATION FUSION

References

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APA: Copy

CHAJI, N., & GHASEMIAN, H.. (2005). IMAGE SEGMENTATION COMBINING EDGE AND TEXTURE INFORMATION. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 3(1 (a)), 1-10. SID. https://sid.ir/paper/70695/en

Vancouver: Copy

CHAJI N., GHASEMIAN H.. IMAGE SEGMENTATION COMBINING EDGE AND TEXTURE INFORMATION. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2005;3(1 (a)):1-10. Available from: https://sid.ir/paper/70695/en

IEEE: Copy

N. CHAJI, and H. GHASEMIAN, “IMAGE SEGMENTATION COMBINING EDGE AND TEXTURE INFORMATION,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 3, no. 1 (a), pp. 1–10, 2005, [Online]. Available: https://sid.ir/paper/70695/en

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