Uma combinação entre os critérios objetivo e subjetivo na classificação de imagens mamográficas comprimidas pelo método fractal

• Ano de defesa: 2013
• Autor(a) principal: Vergütz, Stéphany
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Engenharia Elétrica; Engenharias; UFU
• Palavras-chave em Português: Compressão fractal de imagens; Mamografia; Taxa de compressão; Relação sinal ruído de pico; Mamas Radiografia; Compressão de imagens; Fractais - Processamento de dados; Compressão de dados (Computação); Fractal image compression; Mammography; Compression rate; Peak signal noise ratio; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA
• Link de acesso: https://repositorio.ufu.br/handle/123456789/14568

Images are relevant sources of information in many areas of science and technology. The processing of such information improves and optimizes its use. The image compression causes the information representation is more efficient, reducing the amount of data required to represent an image. The objective of this study is to evaluate the performance of Fractal Compression technique onto mammograms through an association between the objective criteria, provided by Peak Signal Noise Ration (PSNR); and the subjective criteria, given by visual analysis of an expert physician. Visual analysis was performed comparing mammograms compressed to different extents (compression rate) with the original image, where experts classified the compressed images as unacceptable , acceptable , good or great . In doing so, the optimal compression rate and PSNR values of mammograms was achieved, where images are considered acceptable according to experts. In order to compare the performance of fractal compression technique with another compression method, visual analysis was also done on images compressed by JPEG2000 method.