Scale and rotation invariant texture analysis based on structural property

Goyal, R.K.; Goh, Wooi-Boon; Mital, Dinesh P.; Chan, K.L.

doi:10.1109/iecon.1995.483983

Cited by 20 publications

(18 citation statements)

References 4 publications

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“…Such methods divide into geometrical and topological approaches. In geometrical approaches, coarse geometrical properties such as perimeter and compactness are used to characterise texture primitives . Topological approaches use various filtering methods to extract primitives such as lines, edges and blobs.…”

Section: Literature Reviewmentioning

confidence: 99%

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

Seck

Dee

Smith

et al. 2019

Skin Research and Technology

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Background This paper investigates the use of a light stage to capture high‐resolution, 3D facial surface textures and proposes novel methods to use the data for skin condition assessment. Materials and Methods We introduce new methods for analysing 3D surface texture using high‐resolution normal fields and apply these to the detection and assessment of skin conditions in human faces, specifically wrinkles, pores and acne. The use of high‐resolution normal maps as input to our texture measures enables us to investigate the 3D nature of texture, while retaining aspects of some well‐known 2D texture measures. The main contributions are as follows: the introduction of three novel methods for extracting texture descriptors from high‐resolution surface orientation fields; a comparative study of 2D and 3D skin texture analysis techniques; and an extensive data set of high‐resolution 3D facial scans presenting various skin conditions, with human ratings as “ground truth.” Results Our results demonstrate an improvement on state‐of‐the‐art methods for the analysis of pores and comparable results to the state of the art for wrinkles and acne using a considerably more compact model. Conclusions The use of high‐resolution normal maps, captured by a light stage, and the methods described, represent an important new set of tools in the analysis of skin texture.

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Section: Literature Reviewmentioning

confidence: 99%

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

Seck

Dee

Smith

et al. 2019

Skin Research and Technology

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“…This characteristic is invariant by translation, rotation but also to scale changes (Zhang & Tan (2002)). It has been used to texture characterization in (Goyal et al (1995)). The compacity of a connected component can be computed as follows:…”

Section: A Geometric Approach For 3d Texture Analysismentioning

confidence: 99%

3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches

Olivier¹,

Paulhac²

2011

Medical Imaging

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“…Perimeter and compactness of a primitive are used to characterize texture by Goyal et al [38,39,57]. Perimeter is in theory invariant to shift and rotation.…”

Section: Perimeter Contribution and Compactnessmentioning

confidence: 99%

“…Goyal et al [41] have noted that the texel property may not change under translation and rotation. They use the property histogram to get the invariant texture features and propose a method to convert the traditional property histogram to an invariant histogram in which the number of the texels (frequency) is plotted on the Y -axis and the property value on the X -axis.…”

Section: Invariant Histogrammentioning

confidence: 99%

Brief review of invariant texture analysis methods

Zhang¹,

Tan

2002

Pattern Recognition

386

171

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This paper considers invariant texture analysis. Texture analysis approaches whose performances are not a ected by translation, rotation, a ne, and perspective transform are addressed. Existing invariant texture analysis algorithms are carefully studied and classiÿed into three categories: statistical methods, model based methods, and structural methods. The importance of invariant texture analysis is presented ÿrst. Each approach is reviewed according to its classiÿcation, and its merits and drawbacks are outlined. The focus of possible future work is also suggested. ?

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Scale and rotation invariant texture analysis based on structural property

Cited by 20 publications

References 4 publications

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

3D surface texture analysis of high‐resolution normal fields for facial skin condition assessment

3D Ultrasound Image Segmentation: Interactive Texture-Based Approaches

Brief review of invariant texture analysis methods

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