Generalized multiresolution analysis of magnetic resonance images

Spaniol, Jacqueline M.; Belmont,; Ir, Summers; Vennart, W.

doi:10.1016/0262-8856(94)90013-2

Cited by 2 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is expected to introduce two-fold benefits: the detection of smaller details that would be otherwise overwhelmed by larger texture patterns and the more reliable classification provided by the simultaneous analysis of large uniform regions. Several attempts 11,12,13,7,8,5,9,10,14,15,16 have been made to incorporate multiresolution processing in computer vision algorithms. Our previous works 1,2,3 have described a technique for leather inspection based on the analysis of flow fields (computed from grey level images using the algorithm proposed by Rao e Schunck 4) composed by an angle image (representing at each point the dominant orientation of gradients in a neighbourhood of the textured image after Gaussian smoothing) and by a coherence image (measuring at the same point the accordance the directions of those gradients and the local dominant orientation).…”

Section: Introductionmentioning

confidence: 99%

<title>Multiscale data analysis for leather defect detection</title>

Branca¹,

Attolico²,

Distante³

1996

Machine Vision Applications, Architectures, and Systems Integration V

View full text Add to dashboard Cite

The paper describes some early results obtained by applying a multiscale approach to texture analysis for defect detection on leather surfaces. Texture properties have proved to be a valuable help in charactensing the chaotic structures normally present on leather and the oriented structures typical of defects in spite of the wide range of associated visual appearances. Texture based defect detection can be done effectively by using the coefficients of the projection of a flow field (obtained by the textured image using a method proposed by Rao and Shunck) into a vector space spanned by an appropriate basis function set. Being texture strongly related to scale we propose to extend the work of Rao and Schunck by employing a bank of filters, tuned at different scales, in order to perform the flow field estimation. Measures based on the coherence of outputs are used to determine at each point the scale providing the strongest oriented texture. Results showing the effect of synthesizing multiscale data into a single flow field will be provided.

show abstract

Section: Introductionmentioning

confidence: 99%

<title>Multiscale data analysis for leather defect detection</title>

Branca¹,

Attolico²,

Distante³

1996

Machine Vision Applications, Architectures, and Systems Integration V

View full text Add to dashboard Cite

show abstract

Leather inspection through singularities detection using wavelet transforms

Branca¹,

Abbate²,

Lovergine³

et al. 1997

Image Analysis and Processing

View full text Add to dashboard Cite

The major problem in leather inspection is to separate defects from the background exhibiting a wide range of visual appearances. Leather defects, characterized by oriented structures, cannot be easily discriminated from the structures typical of the normal surface. Though gaussian filters generally represent a successfull tool to smooth out the structures on the background, a wrong choice of the resolution can preclude the detection of defective regions (singularities) in the subsequent analysis. However, wavelet transforms can be profitably used for studying the evolution of singularities across different scales. Suitable kernels for this transform does allow multiscale singularities analysis through the detection of local maxima in wavelet transform modulus.

show abstract

Generalized multiresolution analysis of magnetic resonance images

Cited by 2 publications

References 20 publications

<title>Multiscale data analysis for leather defect detection</title>

<title>Multiscale data analysis for leather defect detection</title>

Leather inspection through singularities detection using wavelet transforms

Contact Info

Product

Resources

About