Color image processing
نویسندگان
چکیده
1. Background and motivation The perception of color is of paramount importance in applications areas such as multimedia, computer vision, graphics, biomedical signal processing, and industrial inspection. Humans routinely use color features to sense the environment, identify and recognize objects of interest, and convey information. Color image processing and analysis deal with the manipulation of digital color images through the utilization of signal processing techniques. Like most advanced signal processing techniques, color image processing was, until the last decade, confined to academic institutions and research laboratories that could afford the expensive image processing hardware needed to handle the processing overhead required to process large volumes of visual data. However, with the advent of powerful computing devices , and the proliferation of consumer electronics such as digital cameras, smart phones, color scanners and printers, color image processing techniques are now within the grasp of the general public. Image processing practitioners and end-users routinely use color image processing solutions in applications such as transmission of consumer images and videos in wireless networks, indexing and archiving of personal photo collections, web-based processing of color images and videos, virtual restoration of artworks, mul-timedia information mining, and color management for peripheral devices such as printers and scanners. It is also not surprising that more versatile visual sensors and more efficient image processors replace their predecessors in various consumer electronic and computing devices to allow better understanding and reproduction of the visual scene and higher processing rates. Thus, new solutions are permanently needed to enhance performance of today's digital imaging systems, to enable real-time processing and analysis of high-resolution color visual data, and to solve challenging problems in emerging applications of color image processing. This special issue provides an overview of color image processing solutions for computer vision and visual data analysis applications. It is aimed at researchers and practitioners who work in the area of color image processing. Its purpose is to fill an existing gap in the scientific literature by presenting the state of the art research in the area. By its nature, a special issue cannot cover all important developments in such a dynamic and fast expanding area. However, it can provide a good starting point for researchers and practicing engineers willing to address the technical challenges and take advantage of the opportunities in the area of color image processing and analysis. 2. Quick facts about the special issue The guest editors suggested …
منابع مشابه
The Combinational Use Of Knowledge-Based Methods and Morphological Image Processing in Color Image Face Detection
The human facial recognition is the base for all facial processing systems. In this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.The proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. Inaddition, to do face...
متن کاملCurl Size and Pelt Color Determination of Zandi Lambs Using Image Processing and Artificial Neural Network
In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...
متن کاملColor scene transform between images using Rosenfeld-Kak histogram matching method
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...
متن کاملPerformance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation
Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...
متن کاملAssessing of Fabric Appearance Changes Using Image Processing Techniques
This paper describes the use of image processing to measure lightness changes of fabric appearance. The lightness changes due to dyeing, washing and exposure to light treatments are studied. These properties are measured by using the changes in the intensity levels of the fabrics image and the L* obtained by a spectrophotometer. For each case, analysis of variance (ANOVA) is carded out and the...
متن کاملImage Segmentation using Improved Imperialist Competitive Algorithm and a Simple Post-processing
Image segmentation is a fundamental step in many of image processing applications. In most cases the image’s pixels are clustered only based on the pixels’ intensity or color information and neither spatial nor neighborhood information of pixels is used in the clustering process. Considering the importance of including spatial information of pixels which improves the quality of image segmentati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Computer Vision and Image Understanding
دوره 107 شماره
صفحات -
تاریخ انتشار 2007