Color scene transform between images using Rosenfeld-Kak histogram matching method
Authors
Abstract:
In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color scene between two images, the histograms of the three R, G and B channels of the input image would be matched to the corresponding histograms of the destination one. The performance of the introduced method was investigated for several images. The obtained results indicated that this method is well capable of transforming the color scene between images.
similar resources
Automatic Detection of Microaneurysms in Color Fundus Images using a Local Radon Transform Method
Introduction: Diabetic retinopathy (DR) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. Following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to DR complications. This paper addresses the automatic detection of microaneurysms (MA...
full textHistogram-Based Scene Matching Measures
Fuzzy set theory has been used to handle uncertainty in various aspects of image processing, pattern recognition and computer vision. High-level computer vision applications hold a great potential for fuzzy set theory because of its natural language capabilities. Scene description, a language-based interpretation of regions and their relationships, is one such application that has used fuzzy se...
full textFeature Extraction Using Histogram of Radon Transform for Palmprint Matching
This paper presents principle line based palm print matching model as principle lines are easily extracted in even in low resolution images. This paper proposes use of histogram of Radon transform (HRT) to extract the features of palm. However the HRT is sensitive to the rotation and scaling due to normalization process. Therefore here logarithm is employed while discarding the normalization pr...
full textTracking Manually Selected Object in Videos Using Color Histogram Matching
Tracking a moving object over time is a challenging task. In this paper object to be tracked is manually selected by the user in one video frame and it is tracked in all subsequent frames of the given input video sequence. The work is carried out in two steps. First the object is detected using 64bin colour histogram matching and the object positions in all the video frames is determined to obt...
full textautomatic detection of microaneurysms in color fundus images using a local radon transform method
introduction: diabetic retinopathy (dr) is one of the most serious and most frequent eye diseases in the world and the most common cause of blindness in adults between 20 and 60 years of age. following 15 years of diabetes, about 2% of the diabetic patients are blind and 10% suffer from vision impairment due to dr complications. this paper addresses the automatic detection of microaneurysms (ma...
full textDetection of Blood Vessels in Color Fundus Images using a Local Radon Transform
Introduction: This paper addresses a method for automatic detection of blood vessels in color fundus images which utilizes two main tools: image partitioning and local Radon transform. Material and Methods: The input images are firstly divided into overlapping windows and then the Radon transform is applied to each. The maximum of the Radon transform in each window corresponds to the probable a...
full textMy Resources
Journal title
volume 6 issue 1
pages 17- 24
publication date 2012-11-05
By following a journal you will be notified via email when a new issue of this journal is published.
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023