Wyniki wyszukiwania - BazTech

Ograniczanie wyników

Powiadomienia systemowe

Sesja wygasła!

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Wyszukiwano:
w słowach kluczowych: Generalized Hough Transform

Sortuj według:

Ogranicz wyniki do:

Identification and Assessment of Selected Handwritten Function Graphs Using Least Square Approximation Combined with General Hough Transform

Bieniecki W., Stoliński S.

Image Processing & Communications

2017

Vol. 22, no. 4

23--42

The paper provides a comparison of three variants of algorithms for automatic assessment of some xamination tasks involving sketching a function graph based on image processing. Three types of functions have been considered: linear, quadratic, and trigonometric. The assumption adopted in the design of the algorithm is to map the way the examiner assesses the solutions and to achieve the evaluation quality close to the one obtained in manual evaluation. In particular, the algorithm should not reject a partly correct solution and also extract the correct solution from other lines, deletions and corrections made by a student. Essential subproblems to solve in our scheme concern image segmentation, object identification and automatic understanding. We consider several techniques based on Hough Transform, least square fitting and nearest neighbor based classification. The most reliable solution is an algorithm combining least square fitting and Hough Transform.

Method for identification of fragments of lip prints images on the basis of the generalized hough transform

Wrobel K., Doroz R.

Journal of Medical Informatics & Technologies

2013

Vol. 22

189--193

The paper presents a new method for identification of fragments of lip print images on the basis of the Generalized Hough Transform (GHT). The effectiveness of this method was verified in practice. The maximum value obtained from the accumulator array after the Hough transform has been assumed as the measure of similarity between a lip print image and a reference object. The advantage of this method is the possibility of use in forensic science to identify persons who left lip prints at crime scenes.