IMAGE SEGMENTATION BASED ON NORMALIZED CUT FROM THE PERSPECTIVE OF THE DISCRIMINANT INFORMATION

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MOHSENI MASOUMEH; EZOJI MEHDI; GHADERI REZA

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Journal: TABRIZ JOURNAL OF ELECTRICAL ENGINEERING Year:2016 | Volume:46 | Issue:1 (75) Page(s): 303-310

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Title

IMAGE SEGMENTATION BASED ON NORMALIZED CUT FROM THE PERSPECTIVE OF THE DISCRIMINANT INFORMATION

Author(s)

MOHSENI MASOUMEH | EZOJI MEHDI | GHADERI REZA | Issue Writer Certificate

Keywords

IMAGE SEGMENTATIONQ1

GRAPH CUTQ2

LDAQ2

NCUTQ2

Abstract

IMAGE SEGMENTATION is a fundamental problem in computer vision. Normalized Cut (Ncut) scheme uses second smallest eigenvector of a special matrix to solve this problem. In this paper, firstly, it is shown that optimization of NCUT (as an unsupervised method) is equivalent to optimization of Fisher-Rao criterion (as a supervised method) in classification. Then, the classification experience is used to gain a new perspective on the order and selection of eigenvectors in NCUT approach. Experimental results on IMAGE SEGMENTATION, demonstrate the truth about this alternative view of eigenvector selection which leads to less amount of NCUT for IMAGE SEGMENTATION.

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APA: Copy

MOHSENI, MASOUMEH, EZOJI, MEHDI, & GHADERI, REZA. (2016). IMAGE SEGMENTATION BASED ON NORMALIZED CUT FROM THE PERSPECTIVE OF THE DISCRIMINANT INFORMATION. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, 46(1 (75)), 303-310. SID. https://sid.ir/paper/256589/en

Vancouver: Copy

MOHSENI MASOUMEH, EZOJI MEHDI, GHADERI REZA. IMAGE SEGMENTATION BASED ON NORMALIZED CUT FROM THE PERSPECTIVE OF THE DISCRIMINANT INFORMATION. TABRIZ JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2016;46(1 (75)):303-310. Available from: https://sid.ir/paper/256589/en

IEEE: Copy

MASOUMEH MOHSENI, MEHDI EZOJI, and REZA GHADERI, “IMAGE SEGMENTATION BASED ON NORMALIZED CUT FROM THE PERSPECTIVE OF THE DISCRIMINANT INFORMATION,” TABRIZ JOURNAL OF ELECTRICAL ENGINEERING, vol. 46, no. 1 (75), pp. 303–310, 2016, [Online]. Available: https://sid.ir/paper/256589/en

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