Multivariate analysis of image search strategies

Fast Search Strategies for Fractal Image Compression

In traditional fractal image compression, the encoding procedure is time-consuming due to the full search mechanism. In order to speedup the encoder, we adopt particle swarm optimization method performed under classification and Dihedral transformation to further decrease the amount of MSE computations. The classifier partitions all of the blocks in domain pool and range pool into three classes...

Exploratory analysis of multivariate image data

Search Algorithm for Image Recognition Based on Learning Algorithm for Multivariate Data Analysis

An image or a pattern can be recognized using prior knowledge or the statistical informa‐ tion extracted from the image or the pattern. The systems for image recognition and classifi‐ cation have diverse applications, e.g. autonomous robot navigation[1], image tracking radar [2], face recognition [3], biometrics [4], intelligent transportation, license plate recognition, character recognition [...

Multivariate Image Analysis and Segmentation in Microanalysis

Instruments for microanalysis are now able to provide several images of the same specimen area. In this paper, two groups of methods are described for handling these multivariate maps. One group concerns dimensionality reduction, i.e., the projection of N-dimensional data sets onto a M-dimensional parameter space (M<N). It is shown that, in addition to linear mapping which can be performed by M...

Analysis of Distributed-Search Contraction-Based Strategies

We present a model of parallel search in theorem proving for forward-reasoning strategies, with contraction and distributed search. We extend to parallel search the bounded-search-spaces approach to the measurement of infinite search spaces, capturing both the advantages of parallelization, e.g., the subdivision of work, and its disadvantages, e.g., the cost of communication, in terms of search...