Method for Image Recombination of a Plurality of Images and Image Identification and System for Image Acquiring and Identification

• US 20150086135A1
• Filed: 12/05/2014
• Published: 03/26/2015
• Est. Priority Date: 04/30/2009
• Status: Active Grant

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: CHEN, Lai-Sheng, TSAI, Ya-Hui, HUANG, Kuo-Tang, CHANG, Chun-Lung
• Granted Patent: US 9,286,533 B2
• Time in Patent Office: Days
• US Class Current: 382/284
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06V 20/62 Text, e.g. of license plates, overlay texts or captions on TV images
• CPC Class Codes: G06V 20/625 License plates
• CPC Class Codes: G06V 20/63 Scene text, e.g. street names
• CPC Class Codes: G06V 30/10 Character recognition
• CPC Class Codes: G06V 30/262 using context analysis, e.g. lexical, syntactic or semantic context

Abstract

The present invention provides a method for image recombination of a plurality of images and image identification and a system for image acquiring and identification. Features with respect to the plurality of images are recombined and enhanced so as to form a recombined image. After that, the recombined image is processed to emphasize the features of the recombined image so that the recombined image is capable of being identified easily. Furthermore, the present provides a system to perform the foregoing method, whereby reducing unidentified problems caused due to low quality image of the monitoring system.

Claims

1. A method for image recombination of a plurality of images, comprising steps of:

acquiring a plurality of images;

determining a region of interest in an image from the plurality of images and acquiring features in the region of interest;

acquiring from other regions a feature region corresponding to the region of interest according to the acquired features; and

performing an image recombination process to form a recombined image according to a plurality of feature regions and the region of interest,

the image recombination process including;

performing an operation process on corresponding pixels in the plurality of feature regions and the region of interest; and

forming the recombined image after the operation process, and the operation process including;

performing an inversing operation on the pixels in the plurality of feature regions and the pixels in the region of interest respectively;

summing the pixels in the plurality of feature regions and the pixels in the region of interest to form the recombined image; and

performing an inversing operation on the recombined image.

2. A method for image identification, comprising steps of:

acquiring a plurality of images;

determining a region of interest in an image from the plurality of images and acquiring features in the region of interest;

acquiring from other regions a feature region corresponding to the region of interest according to the acquired features; and

performing an image recombination process to form a recombined image according to a plurality of feature regions and the region of interest; and

identifying the recombined image by;

acquiring at least one feature image in the recombined image;

providing a database comprising a plurality of sample images therein, each having respectively a standard image region and at least a non-standard image region, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively;

performing a calculation on a third feature value of each pixel in the feature image and the first feature value or the second feature value corresponding to each pixel in the plurality of sample images to obtain a similarity index of the feature image corresponding to the plurality of sample images respectively;

collecting a plurality of similarity indexes with respect to the feature image compared with the plurality of sample images; and

sorting the plurality of similarity indexes and outputting at least one of comparison results.

3. The method for image identification as recited in claim 2, wherein the calculation is based on normalized correlation matching.

4. The method for image identification as recited in claim 2, wherein each sample image corresponds to an image of a digit or a character.

5. The method for image identification as recited in claim 2, wherein the first feature value and the second feature value are respectively a combination of a weight value and a greyscale value, and the third feature value is a greyscale value.

6. A system for image acquiring and identification, comprising:

an image input unit capable of providing a plurality of images;

an image processing unit coupled to the image input unit, the image processing unit further comprising;

a feature acquiring unit capable of acquiring features in a region of interest on an image from the plurality of images and acquiring from other regions a feature region corresponding to the region of interest according to the acquired features in other regions;

a recombination unit capable of performing an image recombination process according to the plurality of feature regions and the region of interest to form a recombined image,

the image processing unit including;

a database comprising a plurality of sample images therein, each having respectively a standard image region and at least a non-standard image region, wherein the standard image region has pixels corresponding to a first feature value respectively, and the non-standard image region has pixels corresponding to a second feature value respectively; and

an identification and comparison unit coupled to the recombination unit to identify the recombined image, the identification and comparison unit performing a calculation on each pixel in the feature image and each pixel in the plurality of sample images to obtain a similarity index of the feature image corresponding to the plurality of sample images respectively, the identification and comparison unit further collecting a plurality of similarity indexes with respect to the feature image compared with the plurality of sample images.

7. The system for image acquiring and identification as recited in claim 6, wherein the image processing unit is further connected to an output unit to sort the plurality of similarity indexes and output at least one of comparison results.