A new real-time method for description and generalized segmentation of color images

Kiy, K. I.

doi:10.1134/s1054661810020082

Cited by 11 publications

(18 citation statements)

References 5 publications

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“…In [12] color bunches are put on grayscale components of the considered color image. In [9] algorithms that make it possible to construct Bun for a single pass of the image are presented. These algorithms are based on the geometrized histograms method [9].…”

Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

“…In [9] algorithms that make it possible to construct Bun for a single pass of the image are presented. These algorithms are based on the geometrized histograms method [9]. The graph STG determines a preliminary segmentation of the color image.…”

Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

“…In [9] the structural graph of color bunches STG(CI) was attached to any color image CI. To con struct STG, any color image is divided into narrow strips with sides parallel to the horizontal (or vertical) axis Os of the image plane.…”

Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

“…Algorithms for constructing global object were also proposed in [9]. However those algorithms were mainly suitable for constructing simply connected regions, and not all constructed regions were stable under weak variations of images (for example, when regions move in video sequences).…”

Section: Introductionmentioning

confidence: 98%

“…In [9] a real time method for segmentation and concise description of color images was proposed. Algorithms for constructing global object were also proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

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Segmentation and detection of contrast objects and their application in robot navigation

Kiy

2015

Pattern Recognit. Image Anal.

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In this paper, real time algorithms for segmentation and detection of contrast objects in color images are proposed, which provide stable segmentation components for solving scene recognition problems. The selected contrast objects are approximately described using the graph of structural color bunches STG introduced by the author. A bipartite graph LRG of left and right contrast boundary curves (germs of global objects) in STG is attached to each image. Connected components in LRG are candidates for contrast objects in STG. Constructing algorithms are based on the geometrized histogram method developed by the author. The detection of stable segmentation components in images is applied to analysis of video sequences in order to find visual landmarks. Applications of the developed technique to autonomous navigation of robots are dis cussed.

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Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

Section: Problem Statement: Structural Graph Of Color Bunchesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

“…In [9] a real time method for segmentation and concise description of color images was proposed. Algorithms for constructing global object were also proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations