Desenvolvimento e implementação de métodos de correção de iluminação para imagens digitais

Abstract

The vignetting correction is one of first steps for the digital processing of images obtained from light and electron microscopy, being a determining factor for the quality of the results achieved by automatic methods of quantitative analysis. In this work two methods were implemented, namely the Gaussian smoothing and the bicubic interpolation, to extract the illumination pattern of images from which a background was not separately acquired. Since both methods are assisted by the user, who must input some parameters and image samples, a graphical interface was developed where the user performs these operations by directly interacting with the images, so that the process of background extraction becomes intuitive. Once the illumination pattern is known, the original image can be corrected by means of a subtraction or a division. The methods were implemented using the Java language and the JAI (Java Advanced Imaging) and ImageIO libraries and were integrated to the image processing and analysis system Arthemis, developed by Laboratório de Computação Aplicada - LaCA/UFSM.