Property of grayscale hit-or-miss transform and its application

• Autorzy: Won, Y. , Park, Y. K.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 2000 (6 ;15-19.05.2000 ; Polesie, Poland)
• Języki publikacji: EN

Abstrakty

EN

Even a slight change in image aquisition environment makes recognition of objects or patterns difficult. This paper proposes a mathematical morphology operation for feature extraction intensitive to intensity variation. A gray-scale hit-or-miss transform operator is applied to a shared-weigh neural network for feature extraction process. For real world application, the neural network is applied to recognition of numbers in vehicle license plate. Experimental resu;ts demonstrate that the gray-scale hit-or-miss transform can reduce rffects caused by lighting conditions.

Słowa kluczowe

EN

intensity variation; mathematical morphology; neural network; vehicale license plate recognition

• Czasopismo: Machine Graphics and Vision
• Rocznik: 2000
• Tom: Vol. 9, No. 1/2
• Strony: 539-547
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Won, Y.

autor

Park, Y. K.

• Chonnam National University, 300 Yongbong-Dong Puk-Gu Kwangju, Korea 500-757