期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：4
页码：685-689
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Medical image enhancement technologies have attracted much attention since advanced medical equipments were put into use in the medical field. Enhanced medical images are desired by a surgeon to assist diagnosis and interpretation because medical image qualities are often deteriorated by noise and other data acquisition devices, illumination conditions, etc. Also targets of medical image enhancement are mainly to solve problems of low contrast and the high level noise of a medical image. Image enhancement plays an important role in computer vision and image processing. In this paper, the use of contrast enhancement techniques for colour images using RGB components is proposed. The histogram equalization (HE) is one of the most popular methods for image contrast enhancement. However, HE algorithm has two main disadvantages. To solve these problems, this paper presents an improved image contrast enhancement based on histogram equalization, which is especially suitable for multiple-peak images. Firstly, the input image is convolved by a Gaussian filter with optimum parameters. Secondly, the original histogram can be divided into different areas by the valley values of the image histogram. Thirdly, using of our proposed method processes images and finally the contrast enhancement Technique, partial contrast is applied to enhance the morphological features of acute leukaemia images to ease the leukaemia classification between Acute Lymphoblastic Leukaemia (ALL) and Acute Myelogenous Leukaemia (AML). The results show that partial contrast is the best technique that helps to improve the image visibility while preserving the significant features of acute leukaemia images. Hence, the resultant images would become useful to Hematologists for further analysis of acute leukaemia. The result demonstrates that the proposed algorithm has good performance in the field of image enhancement.
