Illumination problem

About: Illumination problem is a research topic. Over the lifetime, 93 publications have been published within this topic receiving 5859 citations.

Illumination problems in digital images. A statistical point of view

Abstract: This paper focuses on the statistical treatment of illumination artefacts on digital images in the presence of an additional random noise We assume that this artefact consists of "smooth" variations of the intensity of the signal of interest R Such an assumption is classically modelled using a function L which acts in a multiplicative way on R Our goal is to estimate R from observations of a random variable Y which obeys the regression model Y = R L + e Our main contribution lies in the derivation of a new estimator of R which is shown to be consistent under suitable identifiability and regularity conditions The accuracy of this new estimation procedure is studied from a theoretical point of view through the rate of convergence of the uniform risk Applications to real Scanning Electron Microscopy images are presented, as well as a qualitative study of the performances of our method with respect to other image processing techniques

Illumination Compensation in Pig Skin Texture Using Local-Global Block Analysis

Abstract: Variable illumination in a texture is a common problem occurs to a real-time image modalities. The imbalance illumination in a texture creates virtual regions within one image, hence it affects the performance of the classification methods because it introduced an artifact patterns or virtual regions to an image. This paper presents a method to overcome the variable illumination problem in a pig skin texture using the information in the local and global blocks. The focus of this paper is to provide a fast, reliable and safe method to stabilize the lighting in an image. Pig skin texture is selected because it has a special pattern characteristic that needs to be preserved. The results show that in terms of the fluctuations contrast amplitudes in an image, the local-global method give better results than the standard homomorphic filtering technique.

From spherical to Euclidean illumination

Abstract: In this note we introduce the problem of illumination of convex bodies in spherical spaces and solve it for a large subfamily of convex bodies. We derive from it a combinatorial version of the classical illumination problem for convex bodies in Euclidean spaces as well as a solution to that for a large subfamily of convex bodies, which in dimension three leads to special Koebe polyhedra.

Faces Recognition Using HAARCASCADE, LBPH, HOG and Linear SVM Object Detector

Abstract: To solve the illumination problem of the conventional face recognition system using Haarcascade algorithm, LBPH is merged into the system with the HOG linear SVM object detector, in this paper.

Image binarization under non-uniform illumination based on gray-intensity wave equalization

Abstract: A novel concept called gray-intensity wave equalization is introduced in this paper to resolve the non-uniform illumination problem in the binarization of nondestructive test images. This concept is derived from the principle that the peaks and troughs of waves in the intensity plane of image should belong to the foreground and background, respectively. This method can also be viewed as an image enhancing method and requires few parameters. Through extensive experiments, it has shown a higher performance on weakening the influence of non-uniform illumination in binarization.