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Boundary Detection of Structured Objects
MS. RAJESHWARI RASAL, PROF. N.M.SHAHANE PG Student, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India Professor, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India
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Abstract: Efficient and effective detection of objects in the images is an important task in many image processing applications. This paper presents a region merging approach for detecting the foreground objects in the image. The foreground objects are the structured objects with an independent and detectable boundary. The proposed approach identifies objects in the given image based on general properties of the objects without depending on the prior knowledge about specific objects. The regions of the structured foreground objects in the image are separated by using region contrast information. The perceptual organization laws of human visual system are used in the region merging process to identify the boundaries of various objects. The system is adaptive to the image content. The results of the experiments show that the proposed scheme can reliably extract object boundary from the background.
Keywords: Contrast, Histogram, Region merging, Seed region, Threshold
Keywords: Contrast, Histogram, Region merging, Seed region, Threshold
How to Cite:
[1] MS. RAJESHWARI RASAL, PROF. N.M.SHAHANE PG Student, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India Professor, Department of Computer Engineering, KKWIEER, Nasik, University of Pune, India, βBoundary Detection of Structured Objects,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
This work is licensed under a Creative Commons Attribution 4.0 International License.