数字图像处理及实验一：图像增强与直方图变换技术详解

数字图像处理是利用计算机对图像进行处理和分析的一门学科，旨在突出图像中特定信息，同时削弱或消除不需要的信息。其中，图像增强是一种重要的处理方法，旨在使处理后的图像在特定应用中比原始图像更加有效。实验一是关于图像增强中的直方图变换，通过掌握灰度直方图的概念、直方图均衡化、直方图规定化以及空域滤波等方法，来提高图像的对比度和质量。直方图是图像处理中的基础，用于提供有用的图像统计信息，同时也在图像压缩、分割等应用中发挥着重要作用。通过实验，学生将通过MATLAB程序实现图像增强，加深对数字图像处理的理解和应用能力。通过本实验，学生将学习到直方图均衡化的原理及计算过程，掌握常用的空域滤波器，以及色彩直方图的概念和计算方法。这些知识将帮助学生更好地理解数字图像处理的核心概念，提高图像处理的技能和应用能力。Digitally image processing is a discipline that utilizes computers to process and analyze images, aiming to highlight specific information in the images while reducing or eliminating unwanted information. Image enhancement is an important method in the field, aiming to make processed images more effective in specific applications than the original images. Experiment One focuses on histogram transformation in image enhancement, teaching students concepts such as grayscale histograms, histogram equalization, histogram specification, and spatial filtering to improve image contrast and quality. Histograms are fundamental in image processing as they provide useful statistical information for image compression, segmentation, and other applications. Through the experiment, students will use MATLAB to implement image enhancement, deepening their understanding of digital image processing and enhancing their analytical skills. This experiment will facilitate learning of the principles and calculation processes of histogram equalization, common spatial filters, and the concept and calculation methods of color histograms. This knowledge will help students better understand key concepts in digital image processing, improving their skills and application abilities in image processing.