毕业论文：图像直方图的均衡化处理研究.doc

毕 业 设 计 [论 文] 摘要 直方图均衡化是中利用图像直方图进行调整的方法。直方图均衡化处理的“中心思想”是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。直方图均衡化就是对图像进行非线性拉伸，重新分配图像像素值，使一定灰度范围内的像素数量大致相同。直方图均衡化就是把给定图像的直方图分布改变成“均匀”分布直方图分布。这种方法通常用来增加许多图像的局部对比度，尤其是当图像的有用数据的对比度相当接近的时候。通过这种方法，亮度可以更好在直方图上分布。这样就可以用于增强局部的对比度而不影响整体的对比度，直方图均衡化通过有效地扩展常用的亮度来实现这种功能。 Abstract Histogram equalization is a method of adjusting the image histogram in the image processing field,The central idea of histogram equalization is that the gray level histogram of the original image is the uniform distribution of the gray range from the comparison to the gray range of the whole gray range, Histogram equalization is to image the non-linear stretching, re assign the image pixel values, so that a certain number of pixels within a certain gray range of the same. Histogram equalization is to change the distribution of a given image into a uniform distribution of the histogram. This method is usually used to increase the local contrast of many images, especially when the contrast of the useful data of the image is quite close.. By this method, the brightness can be better distributed on the histogram.. This can be used to enhance the contrast of the contrast without affecting the overall contrast, histogram equalization by effectively expanding the common brightness to achieve this feature. The main research of this paper is histogram equalization of improved methods, to solve the original histogram equalization in grayscale images and noise above shortcomings, through the test data obtained pointed out their advantages, with good enhancement effect. Through this graduate design to understand image enhancement in digital image processing knowledge, understand histogram equalization, the advantages and disadvantages, complete the input image quality enhancement, and the use of effective evaluation index evaluation and comparison of pre and post contrast images, cultivating the problem analysis and problem solving ability. Keywords: histogram, histogr