Image processing method and device and object detection method and system

A technology of image processing and image processing devices, which is applied in the directions of image data processing, image analysis, character and pattern recognition, etc., and can solve problems such as inability to describe hue component color difference well

Active Publication Date: 2013-09-11
CANON KK
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But grayscale-based features cannot describe the color difference in the hue component well, because the values ​​in the hue component represent different kinds of colors, not the magnitude of a certain color

Method used

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  • Image processing method and device and object detection method and system
  • Image processing method and device and object detection method and system
  • Image processing method and device and object detection method and system

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Embodiment Construction

[0033] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0034] Note that similar reference numbers and letters refer to similar items in the figures, so that once an item is defined in one figure, it need not be discussed in subsequent figures.

[0035] Figure 1a is an exemplary flowchart illustrating an image processing method according to the present invention.

[0036] Such as Figure 1a As shown, the image processing method according to the exemplary embodiment of the present invention includes: a color classification step S100 , a mask generation step S200 , a feature extraction step S300 and an optional feature synthesis step S400 .

[0037]Specifically, in the color classification step S100, a plurality of pixels in the image area to be processed are classified into main color classes. This processing can be performed on all pixels in the image area, or only on some pixels. Preferably, color classif...

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Abstract

The invention relates to an image processing method and device and an object detection method and system. The image processing method comprises a color classification step, a mask generation step and a feature extraction step, wherein the color classification step is used for classifying multiple pixels in an image region into at least one dominant color category; the mask generation step is used for generating a chromatic aberration mask for each dominant color category, and the chromatic aberration masks reflect the relations between the multiple pixels and the corresponding dominant color categories; the feature extraction step is used for extracting a feature vector from each corresponding chromatic aberration mask.

Description

technical field [0001] The invention relates to image processing, computer vision and pattern recognition. More specifically, the present invention relates to color image based region descriptions. Background technique [0002] In image processing and object detection, it is often necessary to implement a region description method for describing image regions. The term "object" herein includes animate objects such as humans, animals, etc., as well as inanimate objects. Most current region description methods are based on grayscale images rather than color images. The main reason is that color images are very sensitive to illumination changes and chromatic aberrations, so if color information is used to describe image regions, there will be greater risks. Therefore, the traditional region description methods often transform the color image into a grayscale image first, and then describe it with grayscale-based features. Region description methods based on grayscale images...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40G06K9/62
Inventor 姜涌张文文江龙
Owner CANON KK
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