Evaluation and assessment of homogeneity in images. Part 2: Homogeneity assessment on single channel non-binary images. Blending end-point detection as example

Autor(es)

da Silva, Neirivaldo Cavalcante ^[1] ; Franca, Leandro de Moura ^[2] ; Amigo, Jose Manuel ^{[3, 4]} ; Bautista, Manel ^[5] ; Pimentel, Maria Fernanda ^[1]

Afiliação do(s) autor(es)

^[1] Univ Fed Pernambuco, Dept Chem Engn, Recife, PE - Brazil

^[2] Univ Fed Pernambuco, Dept Pharm, Recife, PE - Brazil

^[3] Univ Fed Pernambuco, Dept Fundamental Chem, Recife, PE - Brazil

^[4] Univ Copenhagen, Fac Sci, Dept Food Sci, Rolighedsvej 30, DK-1958 Frederiksberg C - Denmark

^[5] Novartis Pharrna AG, CH-4056 Basel - Switzerland

• Tipo de documento: Artigo Científico
• Fonte: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; v. 180, p. 15-25, SEP 15 2018.
• Citações Web of Science: 0

Resumo

This paper demonstrates that the use of the homogeneity curve approach introduced in the first part of this work for assessing the unique homogeneity percentage (%H) can also be applied in single channel non-binary (SCNB) images (a.k.a grayscale images) analysis. In order to address a more general homogeneity index approach for SCNB images, more realistic assumptions such as the presence of divisible objects or the mixture of different objects in the same pixel, are considered. The proposed parameter, %H, is an absolute homogeneity percentage that uses only the self-contained information of one image, with no need for additional modelling steps, as described in most of the works addressing the homogeneity assessment. To demonstrate it, two cases have been evaluated. The first case validates the %H by assessing the homogeneity in images with different textures (distribution of objects). In the second case, the reliability of assessing the evolution of homogeneity and providing an end-point detection in blending process trials done at small scale has been evaluated. The results obtained in the current work show the high potential when using the %H for industrial applications where the distributional homogeneity represents a critical process parameter to ensure the quality of the final product. (AU)

• Processo FAPESP: 08/57808-1 - Instituto Nacional de Ciências e Tecnologias Analíticas Avançadas - INCTAA
• Beneficiário: Celio Pasquini
• Modalidade de apoio: Auxílio à Pesquisa - Temático