The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The following topics are dealt with: linear approximation; license plate recognition; color image segmentation; image quantization; wireless video transmission; congestion control; stochastic search; transmembrane helical segments; wavelet transform; semisupervised cluster algorithm; anomaly detection; data privacy; online market information processing; user behavior; particle swarm optimization;...
This paper addresses a novel issue of intuitionistic fuzzy c means color clustering using intuitionistic fuzzy set theory. The intuitionistic fuzzy set theory takes into the membership degree and non membership degree. Non membership degree is calculated from Sugeno type intuitionistic fuzzy complement. The introduction of another uncertainty term i.e. the non membership degree helps to converge the...
This paper presents a novel content-based hidden transmission method for secret data to improve the security and secrecy. In the proposed method, the secret data is encrypted by chaotic map before embedding. Then the cover image is segmented by watershed algorithm and fuzzy c-means clustering. At last we extract the feature of each region and embed the secret data into the cover image according to...
Despite the widespread application of microarray imaging for biomedical research, barriers still exist regarding its reliability and reproducibility for clinical use. A critical problem lies in accurate spot segmentation and quantification of gene expression level (mRNA) from microarray images. A variety of commercial and research freeware packages are available, but most cannot handle array spots...
Microarray imaging is now widely used to monitor the activities of thousands of genes simultaneously in biological samples. While there are a number of methods in use for the quantification of microarray images, barriers still exist towards its feasibility for clinical use. Among them, automated spot segmentation is critical for accurate and high throughput measurements of gene expression levels from...
Forward looking infrared (FLIR) image segmentation is crucial for automatic target recognition (ATR). This paper presents a new clustering algorithm for FLIR image segmentation. We combine the standard fuzzy c-means algorithm (FCM) with two-dimensional histogram of the image, and modify the membership function of the FCM for taking into account the spatial information of image data. Since the FCM...
In this work are described methods of segmentation of digital images based on clustering. As clustering method was chosen fuzzy c-means clustering method, but these methods of segmentation are not restricted only to fuzzy c-means. In these methods of segmentation can be used any clustering method, which respects some rules. Color perception by humans is also important part of this contribution. As...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.