A New Texture Descriptor: Composite Sub_band Gradient Vector 2006.3.30.

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Presentation transcript:

A New Texture Descriptor: Composite Sub_band Gradient Vector

Texture Analysis by Gradient-Based Feature  Gradient operator (Sobel) reflect the magnitude and direction.  Summing up the magnitude in the same direction.  Every successive k(=10) directions grouped together

 Euclidean distance: measure the difference between two gradient vector.

Composite Subband Gradient Vector  drawback

 LL sub-image: Both horizontal and vertical direction have low- frequencies.  LH sub-image: Horizontal direction has low-frequencies and vertical direction has high-frequencies

 HL sub-image: Horizontal direction has high- frequencies and vertical direction has low-frequencies.  HH sub-image: Both horizontal and vertical direction have high- frequencies.

 SGV1 be the sub-image LL  SGV2 be the sub-image LH  SGV3 be the sub-image HL  SGV4 be the sub-image HH  CSGV = SGV1|| SGV2|| SGV3|| SGV4(where || is append operator)  CSGV is called Composite Subband Gradient Vector

(g)=>( h) (g)=>(i) Dis t

Segmentation using Reduced-Length CSG Vectors  Segmentation process into three stages: (1).split stage. (2).merge stage. (3).boundary stage.  Assume that an image I is of size m*m pixels

Split stage.

Merge stage.

Boundary stage.

Result(Split:0.1 Merge:0.7)