Informatics Publishing Limited

P. Kalavathi , P. Amrutha Lakshmi , T. Pullaiah

Abstract

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P. Kalavathi ¹

Affiliations
1 Department of Computer Science and Applications, Gandhigram Rural Institute, Deemed University, Gandhigram - 624 302, IN

Abstract

Bit-plane slicing is a method which divides the image into many binary image planes and categorizes the image data into most significant and least significant information. In this paper a new edge detector using the most significant image data to detect the edges in the bacterial images is developed. This proposed method finds the edges in the higher order bit-planes using contouring technique and combines these edges to get the final edge image. The edges obtained by the proposed method are more accurate than the existing method. The experimental result obtained by the proposed edge detector is compared with the popular edge detectors Canny, Log, Prewitt, Robert and Sobel and have produced best results.

Keywords

Edge Detectors, Bit-Plane Slicing, Bacterial Image, Segmentation.

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K. Somasundaram ¹, P. Kalavathi ¹

Affiliations
1 Image Processing Lab, Department of Computer Science and Applications, Gandhigram Rural Institute-Deemed University Gandhigram – 624 302, Tamil Nadu, IN

Abstract

MRI brain images are widely used in medical applications for research, diagnosis, treatment, surgical planning and image guided surgeries. These MR brain images are often corrupted with various imaging artifacts and may affect the performance of brain image processing techniques. In this paper, we listed and identified the causes of the common imaging artifacts in MR brain images.

Keywords

MR Brain Image, Imaging Artifacts, Magnetic Resonance Imaging.

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