RESUMEN

Big virtual microscopy images (80K x 60K pixels and larger) are usually stored using the JPEG2000 image compression scheme. Diagnostic quantification, based on image analysis, might be faster if performed on compressed data (approx. 20 times less the original amount), representing the coefficients of the wavelet transform. The analysis of possible edge detection without reverse wavelet transform is presented in the paper. Two edge detection methods, suitable for JPEG2000 bi-orthogonal wavelets, are proposed. The methods are adjusted according calculated parameters of sigmoid edge model. The results of model analysis indicate more suitable method for given bi-orthogonal wavelet.

Asunto(s)

Diagnóstico por Imagen/métodos , Procesamiento de Imagen Asistido por Computador/métodos , Algoritmos , Membrana Celular/patología , Gráficos por Computador , Computadores , Técnicas Citológicas , Humanos , Modelos Estadísticos , Modelos Teóricos , Programas Informáticos