Development of image enhancement technique for improving the contrast of non-uniform illumination and visibility of chromosome banding pattern
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Date
2019-06
Authors
Mohammad Ariff Syamil Bin Idrus
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Abstract
This project is to develop the image enhancement technique for improving the contrast of non-uniform illumination and visibility of the chromosome banding pattern. When chromosome image is taken using the computer, a digital image of chromosome image is created. The digitization process, in some cases produced distortion or noise to the image. In this project, one common distortion of the chromosome image is the nonuniform illumination. Non-uniform illumination image is where three different exposed of light are illuminated into the image, while produces three different regions namely well-exposed area, over-exposed area and under-exposed area of light. Region with sufficient amount of light illuminated is referred to well-exposed region. This area has good visual of the subject that had been highlighted. In over-exposed area, this area is producing if there is over bright or over amount of light illuminated. While for underexposed area, this area is produced as there is less bright or less amount of light illuminated. This project will use different type of image enhancement technique in order to restore the image from its non-uniform illumination. In this project, three image processing techniques, namely Intensity Adjustment, Histogram Equalization and Image Segmentation will be applied in order to improve the contrast of non-uniform chromosome image and enhance the visibility of chromosome banding pattern. The intensity adjustment is applied to adjust the intensity of the chromosome image, while the histogram equalization is applied to adjust the intensity of image to improve the contrast. Image segmentation is used to separate the multiple chromosome into single chromosome in one image. The results show that when a single chromosome image is applied with the image enhancement technique, the output image will show better visualization of the chromosome banding pattern. The Histogram Equalization applied had shown a significant change in the contrast of the chromosome images thus improve the contrast of the non-uniform illuminated chromosome images. Thus, this project successfully achieved the objectives stated.