- Email: [email protected]
Session E1: Image recognition
M~croprecessingand M~cropregrernrning32 (1991) 435-436 Nerth.Holisnd
435
Greece
The great demand from the applications side of today vision systems is the ability to recognize special features from digital images. The variety of applications is very large and there are lot of new techniques aiming to create generic image recognition system. Both software and hardware techn~ues are willing to produce systems copab~e to be applied on different sides ranging from medical to industrial applications. Systems that are able to recognize characteristics from the images, provide very helpful tools besides the human effort. During the last decade, the main research was centered around the image processing aspects. In the last years the research and the technological bends are targeted to the construction of image recognition systems. This session gives an example of the directions related to image recognition techniques for different appfications. It starts with a presentation of image understand,~ng techniques applied on neural networks. The next preser¢~n of this session is a morphological segmentation based on some knowledge for industrial applications and the last paper presents the application of special criteria on image recognition systems or techniques.
=g by Enor~¢kprop,~g=~o~-by A . N . ~ and M . M . A ~ from the U n i v ~ C ~ 3 e Londen describes an int~3r~;f Neural Network System for image understanding and shows that such a task is effectively solved by careful network design. The resutt is g~=d; the n e t w ~ learne and ~ves 100% ~ . The next step is to train the image analysis network to r e c ~ e image features. in the second paper ~ ba~d S~mentatlon using Morpho|ogical Filters'by J.Neejand eL eL from Tempere Urdvers~ of Techne~jy, pre-emptsa fast and efficient appro,~h of f:~Jture sagrn~tat~n us~r~ ~ ~ers for indusfr~ app~,ati~s. ~ us~ ~ filters was found to be most ~ for this a p p ~ and a n a ~ a fast ~mp~montatk=n with ~ arch~actures. In the third paper "An~
~
M~lsu~e
~ " by R.Jezieniecki and E.Rovarisfrom the University of Las PaJmas de Gran Canada, describes a distance ~ e tJ~atfuWs the tonalitY: "the sigr~3c~ve contents of an image doesn't change with any one of ~ mer~h~,d operat~,
so a fair ~stanee measurecan be
independent from their effects" and us~ it to evaluate the evolution of the degradation during SVO.
435
Greece
The great demand from the applications side of today vision systems is the ability to recognize special features from digital images. The variety of applications is very large and there are lot of new techniques aiming to create generic image recognition system. Both software and hardware techn~ues are willing to produce systems copab~e to be applied on different sides ranging from medical to industrial applications. Systems that are able to recognize characteristics from the images, provide very helpful tools besides the human effort. During the last decade, the main research was centered around the image processing aspects. In the last years the research and the technological bends are targeted to the construction of image recognition systems. This session gives an example of the directions related to image recognition techniques for different appfications. It starts with a presentation of image understand,~ng techniques applied on neural networks. The next preser¢~n of this session is a morphological segmentation based on some knowledge for industrial applications and the last paper presents the application of special criteria on image recognition systems or techniques.
=g by Enor~¢kprop,~g=~o~-by A . N . ~ and M . M . A ~ from the U n i v ~ C ~ 3 e Londen describes an int~3r~;f Neural Network System for image understanding and shows that such a task is effectively solved by careful network design. The resutt is g~=d; the n e t w ~ learne and ~ves 100% ~ . The next step is to train the image analysis network to r e c ~ e image features. in the second paper ~ ba~d S~mentatlon using Morpho|ogical Filters'by J.Neejand eL eL from Tempere Urdvers~ of Techne~jy, pre-emptsa fast and efficient appro,~h of f:~Jture sagrn~tat~n us~r~ ~ ~ers for indusfr~ app~,ati~s. ~ us~ ~ filters was found to be most ~ for this a p p ~ and a n a ~ a fast ~mp~montatk=n with ~ arch~actures. In the third paper "An~
~
M~lsu~e
~ " by R.Jezieniecki and E.Rovarisfrom the University of Las PaJmas de Gran Canada, describes a distance ~ e tJ~atfuWs the tonalitY: "the sigr~3c~ve contents of an image doesn't change with any one of ~ mer~h~,d operat~,
so a fair ~stanee measurecan be
independent from their effects" and us~ it to evaluate the evolution of the degradation during SVO.