FPGA技术在皮肤损伤检测中的应用

Iuliana Chiuchisan, O. Geman
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引用次数: 1

摘要

在过去的十年中,人们对计算机辅助皮肤癌诊断的兴趣有了显著的增加。鉴于合适的图像处理算法的发展和皮肤成像技术的进步,本文提出了一种使用现场可编程门阵列(FPGA)实现图像增强技术的方法。使用硬件描述语言(Verilog HDL)描述和实现了对比度和亮度处理、灰度变换、反变换和阈值处理等增强技术。为了获得皮肤病变(肿瘤)图像边界检测的最优解,提出了一种基于verilog的图像序列处理系统,该系统使用了四种经典算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Approach of FPGA Technology in Skin Lesion Detection
During the last decade, there been has a significant increase of interest in the computer-aided diagnosis of skin cancer. Given the development of the suitable image processing algorithms and the advances in skin imaging technology, an approach to implementation of the image enhancement techniques using field programmable gate array (FPGA) is presented in this paper. The enhancement such as contrast and brightness manipulation, gray level transform, invert transform and also thresholding techniques are described and implemented using a Hardware Description Language (Verilog HDL). A Verilog-based system for sequential processing of an image using four classical algorithms is presented, in order to obtain an optimal solution to border detection in skin lesion (tumor) images.
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