Abstract: A new optical imaging process for how to best fuse information from multiple target images into a single target image is described. The process has two primary components. First, rotating, translating and scaling each target image to register or calibrate them against a reference image and, second, determining weighing factors for each thus registered target image to select those images which add value to a final target image. The first component determines optimal rotational and translation matrices by a least squares measure using singular value decomposition. The second component determines weighing factors using correlations and statistical signal analysis techniques.

Abstract: A method for registering and fusing time-varying image sources to provide highest possible information rendering to an operator comprising the steps of aligning a plurality of image sources by matching target image to a reference image and minimizing visual registration error in a static sense and selecting target images which are best fused with a reference image using a dynamic, time-varying optimality maximum likelihood decision theory. The maximum likelihood decision theory is modified to account for time-varying using an orthogonal projection technique charactering changing density functions.

Abstract: A method is provided for determining the complexity of a system. The method includes creating a response matrix for the system, creating a contingency matrix, Cn, from the response matrix, and calculating the complexity of the system from the formula: Complexity=[?/det(CnTCn)]*Log2([(H(x)/H(y))]) wherein H(x) is the input information quantity, H(y) is the output information quantity, and ? is a dimensionless system constant. The method also includes displaying the complexity of the system.

Abstract: The identification of a specific object in a visual image compromised by the addition of noise, too little or too much light, cluttered with other objects that confuse the user, or having other image defects and using novel techniques that make the image appear more salient to a human operator. Novel techniques include representing both the object to be identified and an appropriate sample of the given data image that has been selected as matrices and comparing the two.

Abstract: Strains of microorganisms including strains of Cryptococcus are described which have the ability to control postharvest wound or surface fruit pathogens, even at the low temperatures at which fruit is stored. The strains are highly effective in controlling postharvest diseases including mucor rot, blue mold, and gray mold in fruit.

Abstract: Strains of microorganisms including strains of Cryptococcus are described which have the ability to control postharvest wound or surface fruit pathogens, even at the low temperatures at which fruit is stored. The strains are highly effective in controlling postharvest diseases including mucor rot, blue mold, and gray mold in fruit.