SCAN-CA Based Image Security System

Dual security-based image steganography

In this paper, an image steganographic method with security level confined to a dual security criterion is addressed. Dual security is designed to be measured by kurtosis in the spatial domain and by relative entropy in the frequency domain, simultaneously. Messages are encoded into the wavelet domain by adjusting the magnitude (least few significant bits) relationship between four neighboring ...

Modified CLPSO-based fuzzy classification System: Color Image Segmentation

Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting a fuzzy classification system with minimum number of fuzzy rules and minimum number of incorr...

B-scan Image Clustering and Interpretationin Ultrasonic Rail-Inspection System

Image Correction Method of Color Line-Scan System

As the development of machine vision technology, the color line-scan system is widely applied in the on-line inspection. Due to the non-uniform gray scale and color distortion of the image acquired by the system, the image correction is needed to reduce the problem of image processing and the stability system. Based on reasons mentioned above, a method that using polynomial fitting to correct t...

Observation Based System Security

A formal model for description of passive and active timing attacks is presented, studied and compared with other security concepts. It is based on a timed process algebra and on a concept of observations which make only a part of system behaviour visible. From this partial information which contains also timing of actions an intruder tries to deduce some private system activities.