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Compression method for interest region of depth map

A technology of region of interest and compression method, applied in image analysis, image coding, image data processing, etc., can solve the problem of unable to realize automatic selection of region of interest, and achieve the effect of improving the degree of automation and calculation efficiency, and improving the compression ratio.

Active Publication Date: 2013-05-01
严格集团股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing depth image region of interest compression method cannot automatically select the region of interest, the present invention provides a depth image region of interest compression method

Method used

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  • Compression method for interest region of depth map
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  • Compression method for interest region of depth map

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specific Embodiment approach 1

[0023] Specific implementation mode 1. Combination figure 1 This specific embodiment will be described. A method for compressing a region of interest of a depth map, comprising the steps of:

[0024] Step 1: Use the edge detection method to obtain the gray edge of the depth map;

[0025] Step 2: Use the mathematical morphology expansion operation to obtain the edge of the depth map and its surrounding area;

[0026] The mathematical morphology dilation operation is a process of merging all background points in contact with an object into the object to expand the boundary outward; the dilation operation is defined as:

[0027]

[0028] That is, the image generated by performing an expansion operation of size S on the edge of the depth map and its surrounding area X satisfies: the intersection of the neighborhood of the pixel x whose size is the expansion operation S and the area X is not empty;

[0029] Step 3: Using an image segmentation method to perform region segmenta...

specific Embodiment approach 2

[0038] Embodiment 2. This embodiment is different from Embodiment 1 in that the size of S selected for the expansion operation in step 2 is 3-8.

specific Embodiment approach 3

[0039] Specific embodiment three, the difference between this specific embodiment and specific embodiment one is that the step six: the method of smoothing the non-interest region by using the Gaussian smoothing filter method combined in time domain and space domain is:

[0040] Use the three-dimensional Gaussian window function of MxNxF to perform convolution operation with the grayscale of the depth map sequence. M is the width of the Gaussian window function, N is the height of the Gaussian window function, and F is the depth of the Gaussian window function, that is, perform Gaussian smoothing filtering on the front and back F frames ;

[0041] The value ranges of the Gaussian window function width M, the Gaussian window function height N, and the Gaussian window function depth F are all 5-9;

[0042] The variance of the Gaussian window function used is inversely proportional to the degree of interest in the region.

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Abstract

The invention discloses a compression method for an interest region of a depth map, relating to the compression method for the depth map. According to the compression method, the problem that automatic selection of the interest region cannot be realized by a traditional compression method for the interest region of the depth map is solved. The compression method comprises the following steps of: acquiring a gray scale edge of the depth map by using an edge detection method; acquiring an edge of the depth map and a perimeter region thereof by using mathematical morphology expanding operation; carrying out region segmentation on the depth map by using an image segmentation method; solving an average gray value of pixels in each segmented region and taking the average gray value as a gray value of the region; determining the interest region according to the edge of the depth map and the perimeter region thereof and the average gray value of the pixel; carrying out smoothing processing on a non-interest region by adopting a Gaussian smoothing filter method combining time domain with air space; and coding the edge of the depth map and the perimeter region thereof by adopting a lossless compression mode. The compression method disclosed by the invention can be widely applied to compression for automatic selection of the interest region of the depth map.

Description

technical field [0001] The invention relates to a compression method of a depth map. Background technique [0002] A depth map is a grayscale image of the same size as a 2D image, such as figure 1 As shown in Figure 2, the gray value of each pixel reflects the depth value of the pixel at the same position in the two-dimensional image, that is, the distance between the object represented by the pixel and the observer. The higher the gray value, the closer the distance, and vice versa , it is farther away. Depth z can be obtained by the following equation: [0003] z ( r , c ) = 1.0 ( P ( r , c ) / 255.0 ) × ...

Claims

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Application Information

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IPC IPC(8): G06T9/00G06T7/00
Inventor 关宇东提纯利滕艺丹戴翊轩李尔佳杜克仲小挺于博良
Owner 严格集团股份有限公司
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