Image Enhancement by using Triple Filter and Histogram Equalization for Organ Segmentation

摘要

Convolution filters are used for blurring and sharpening to modifying image when combined with the Histogram equalization for enhancing medical image by adjusting the contrast of the image. Then, the image will be optimized. So, use morphological for segmentation. This research has been designed the filtering in a part of the convolution filter by using the triple filter to adjust the threshold of morphological and normalization value. The results of this experiment are presented that the accuracy of segmentation is increasing and detecting the multiple organs. Nevertheless, we also found that each algorithm can be used for each organ.