Further, the image processing unit may have an edge extraction unit configured to generate edge intensity image data by performing an edge extraction process on the captured image data, a quantization unit configured to generate edge image data by performing a quantization process on the edge intensity image data, an edge labeling unit configured to regard edge pixel regions having connectivity with the edge image data as a same region, to perform a process of giving a same label number to edge pixels of the same region, and to generate labeled image data, a first rectangle objectification unit configured to perform a process of giving a circumscribed rectangle to the edge pixel regions to which the same label number is given based on the labeled image data, and to generate a rectangular object, and a first fine object removal unit configured to perform a process on the edge image data to remove an edge pixel region having a small number of connected pixels and an edge pixel region in a rectangular object having short vertical and horizontal widths as noise based on the labeled image data and the rectangular object, and to generate output edge image data.
wherein the first fine object removal unit further performs a process on the labeled image data to remove the edge pixel region having a small number of connected pixels and the edge pixel region in the rectangular object having short vertical and horizontal widths as noise based on the labeled image data and the rectangular object, and to generate output labeled image data,
a second fine object removal unit configured to perform a process on the edge image data output from the projective transformation unit to remove an edge pixel region that does not include an edge intensity equal to or greater than a predetermined value and an edge pixel region in a rectangular object having a width in the second direction smaller than a predetermined value as noise based on the labeled image data and the rectangular object, and to generate output edge image data, and
The fine object removal unit 302 performs the noise removal process based on the labeled image data that has undergone projective transformation and the rectangular objects generated by the rectangle objectification unit 301.
FIG. 8 is a diagram illustrating an example of rectangular objects generated by a rectangle objectification unit
图8为矩形对象化单元生成的矩形对象的示例的示意图;
Conteúdo potencialmente sensível ou impróprio
Os exemplos servem apenas como ajuda na tradução da palavra ou da expressão procurada. Eles não são selecionados ou validados por nós e podem conter linguagem inapropriada. Pedimos que reporte exemplos que devem ser modificados ou que não devem ser exibidos. As traduções potencialmente sensivéis, impróprias ou coloquiais geralmente são marcadas em vermelho ou em laranja.