It is well known that the wavelet transform provides a very effective framework for analysis of
multiscale edges. In this paper, we propose a novel approach based on the shearlet …

The proposed work aims at the accurate detection and classification of various single and
multiple power quality (PQ) disturbances. To this end, a modified optimal fast discrete …

In this paper, we propose a blind image watermarking algorithm based on the multiband
wavelet transformation and the empirical mode decomposition. Unlike the watermark …

This paper proposes a wavelet based edge detection scheme by scale multiplication. The
dyadic wavelet transforms at two adjacent scales are multiplied as a product function to …

As computers and the Internet become more and more available to families, access of
objectionable graphics by children is increasingly a problem that many parents are …

A gradient image describes the differences of neighboring pixels in the image. Extracting
edges only depending on a gradient image will results in noised and broken edges. Here …

This paper presents a new, simple and effective low-level processing edge detection
algorithm based on the law of universal gravity. The algorithm assumes that each image …

This paper is about the detection of tire defects in multi-textural radiographic images. We
consider the tire defects characterization problem in ways of local regularity analysis and …

Content-based image retrieval is the set of techniques for retrieving relevant images from an
image database on the basis of automatically derived image features. The need for efficient …

Pipeline surface defects such as cracks cause major problems for asset managers,
particularly when the pipe is buried under the ground. The manual inspection of surface …