Quantitative evaluation of color image segmentation results
M Borsotti, P Campadelli, R Schettini - Pattern recognition letters, 1998 - Elsevier
M Borsotti, P Campadelli, R Schettini
Pattern recognition letters, 1998•ElsevierIn this paper we consider the problem of the automatic evaluation of the results of color
image segmentation. have proposed an evaluation function, inspired by the qualitative
criteria for good image segmentation established by, that does not require that the user set
any parameter or threshold value. We identify some limitations in this evaluation function,
and propose two enhanced functions that correspond more closely to visual judgment.
image segmentation. have proposed an evaluation function, inspired by the qualitative
criteria for good image segmentation established by, that does not require that the user set
any parameter or threshold value. We identify some limitations in this evaluation function,
and propose two enhanced functions that correspond more closely to visual judgment.
In this paper we consider the problem of the automatic evaluation of the results of color image segmentation. have proposed an evaluation function, inspired by the qualitative criteria for good image segmentation established by , that does not require that the user set any parameter or threshold value. We identify some limitations in this evaluation function, and propose two enhanced functions that correspond more closely to visual judgment.
Elsevier
