Gray-scale hough transform for thick line detection in gray-scale images

Gray-scale hough transform for thick line detection in gray-scale images

Randomized generalized Hough transform for 2-D gray scale object detection

This paper proposes a new algorithm for 2-D object detection called Randomized Generalized Hough Transform (RGHT). It combines the Generalized Hough Transform (GHT) with the Randomized Hough Transform (RHT). Our algorithm can detect arbitrary objects of various scales and orientations in graylevel images. We also demonstrate RGHT’s advantage of high speed, low storage requirement, high accuracy...

Adaptive Thresholding for Edge Detection in Gray Scale Images

Digital image processing is a subset of the electronic domain, wherein the image is converted to an array of small integers, called pixels, representing a physical quantity. Edges characterize boundaries and edge detection is one of the most difficult tasks in image processing hence it is a problem of fundamental importance in image processing. The problem of edge detection although it is funda...

Reconstruction of Gray-scale Images

We present an algorithm to reconstruct gray scale images corrupted by noise. We use a Bayesian approach. The unknown original image is assumed to be a realization of a Markov random field on a finite two dimensional region Λ ⊂ Z2. This image is degraded by some noise, which is assumed to act independently in each site of Λ and to have the same distribution on all sites. For the estimator we use...

Invariant Features for Gray Scale Images

Invariant features are image characteristics which remain unchanged under the action of a transformation group. We consider in this paper image rotations and translations and present algorithms for constructing invariant features. After brieey sketching the theoretical background we develop algorithms for recognizing several objects in a single scene without the necessity to segment the image b...