A system for the automatic selection of conspicuous color sets for qualitative data display
نویسندگان
چکیده
We describe the main features of a system supporting the selection of color palettes for qualitative data representation, such as in supervised or unsupervised image classification. Based on visual interaction, the system provides effective tools for browsing the Munsell color space and setting perceptual constraints on the colors, which it then selects automatically. The system is now available for academic and nonprofit purposes.
منابع مشابه
AN INTEGRATED FIS-QFD MODEL FOR EVALUATION OF INTERNET SERVICE PROVIDER
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...
متن کاملAN INTEGRATED FIS-QFD MODEL FOR EVALUATION OF INTERNET SERVICE PROVIDER
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...
متن کاملThe Use of Fundamental Color Stimulus to Improve the Performance of Artificial Neural Network Color Match Prediction Systems
In the present investigation attempts were made for the first time to use the fundamental color stimulus as the input for a fixed optimized neural network match prediction system. Four sets of data having different origins (i.e. different substrate, different colorant sets and different dyeing procedures) were used to train and test the performance of the network. The results showed that th...
متن کاملDimensionality Reduction and Improving the Performance of Automatic Modulation Classification using Genetic Programming (RESEARCH NOTE)
This paper shows how we can make advantage of using genetic programming in selection of suitable features for automatic modulation recognition. Automatic modulation recognition is one of the essential components of modern receivers. In this regard, selection of suitable features may significantly affect the performance of the process. Simulations were conducted with 5db and 10db SNRs. Test and ...
متن کاملPROVIDING A MODEL FOR THE SUPPLIER SELECTION PROCESS IN THE SUPPLY CHAIN MANAGEMENT WITH HYBRID MODEL OF DECISION MAKING
<span style="color: #000000; font-family: Tahoma, sans-serif; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: auto; text-align: -webkit-left; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; display: inline !important; float: none; ba...
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:
- IEEE Trans. Geoscience and Remote Sensing
دوره 39 شماره
صفحات -
تاریخ انتشار 2001