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A New Approach to Locate the Gallbladder from Ultrasound Image Using Intensity Stretching and SOM-based Color Quantization

[ Vol. 11 , Issue. 1 ]


Hyun J. Park, Kwang B. Kim and Eui-Young Cha   Pages 63 - 68 ( 6 )


In the ultrasound image, the gallbladder has a wide variety of shape, type, size, and slope, so the existing researches into contour-based gallbladder detection cannot be applied to the various types of gallbladder. Therefore, in this paper, we present a new approach to locate the gallbladder from ultrasound image using ends-in search stretching and self organizing map (SOM)-based color quantization. We use the ends-in search stretching technique to emphasize the difference in brightness among the structures, and SOM-based color quantization is used to classify pixels into the gallbladder and gallbladder wall. After SOM-based color quantization, we extract gallbladder candidates. To verify the gallbladder candidates, we define five morphologic characteristics-based rough conditions. We experiment using 30 ultrasound images. Experiment results shows the proposed method locates the gallbladder excellently despite gallbladders have a variety of shapes.


Gallbladder, gallbladder detection, medical image processing, pattern recognition, ultrasonic image.


Department of Computer Engineering, Pusan National University, Busan, Korea.

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