# US 2014/0153781 A1 · Image filtering method for detecting orientation component of edge and image recognizing method using the same > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0153781 A1 - Document ID: US20140153781A1 - Status: Published application - Kind: A1 - Application number: 14/233,181 - Filed: 2012-02-20 - Published: 2014-06-05 - Earliest claimed: 2011-07-18 - Assignees: Iucf-Hyu (Industry-University Cooperation Foundation Hanyang University) - Inventors: Il-Hong Suh; Young-Bin Park - Web page: https://patentgrep.com/patent/US20140153781A1 ## CPC - G06T 5/20: using local operators - G06T 7/13: Edge detection - G06V 10/443: {by matching or filtering} - G06V 10/751: {Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching} - G06T 2207/10004: Still image; Photographic image - G06T 2207/20192: Edge enhancement; Edge preservation - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING ## Abstract The present disclosure relates to an image filtering method for detecting an orientation component of an edge and an image recognizing method using the same. The image filtering method includes receiving an original image, generating a plurality of first images by filtering the original image with filters respectively generated along a plurality of channels, generating a second image by selecting a channel having a maximum value for each image unit, from the generated first images, and generating an output image whose edge is detected so as to maintain the consistency of channel by filtering the second image with filters respectively generated along the plurality of channels to generate a plurality of third images and comparing the channel of the second image with the channels of the third images. ## Claims ### Claim 1 An image filtering method, comprising: receiving an original image; generating a plurality of first images by filtering the original image with filters respectively generated along a plurality of channels; generating a second image by selecting a channel having a maximum value for each image unit, from the generated first images; and generating an output image whose edge is detected so as to maintain the consistency of channel by filtering the second image with filters respectively generated along the plurality of channels to generate a plurality of third images and comparing the channel of the second image with the channels of the third images. ### Claim 2 (depends on 1) The image filtering method according to claim 1, wherein said generating of an output image comprises: generating a plurality of third images by filtering the second image with filters respectively generated along the plurality of channels; selecting a channel having a maximum value for each image unit, from the generated third images; comparing the channel selected for each image unit from the third images with the channel of the second image; and generating an output image by adjusting a value of the corresponding image unit according to the comparison result to maintain the consistency of the channel of the second image and the selected channel of the third images. ### Claim 3 (depends on 1) The image filtering method according to claim 1, wherein when the channel of the second image and the selected channel of the third images are identical to each other as a result of the comparison, a value of the corresponding image unit is set as a value of the output image. ### Claim 4 (depends on 1) The image filtering method according to claim 1, wherein when the channel of the second image and the selected channel of the third images are not identical to each other as a result of the comparison, a value of the corresponding image unit is decreased and set as a value of the output image. ### Claim 5 (depends on 1) The image filtering method according to claim 1, wherein the consistency of channel has a higher value when the channel for generating the second image is identical to the channel selected for generating the third image. ### Claim 6 (depends on 1) The image filtering method according to claim 1, further comprising: feeding back the output image as an input value in the operation of generating the second image. ### Claim 7 (depends on 6) The image filtering method according to claim 6, wherein the feeding-back operation is repeated a predetermined number of times. ### Claim 8 (depends on 1) The image filtering method according to claim 1, wherein the channel represents a preset specific angle, and wherein the filter selectively detects an image of the set specific angle from the input image. ### Claim 9 (depends on 1) The image filtering method according to claim 1, wherein the image is filtered by convoluting an input image and a Gaussian filter generated along the channel. ### Claim 10 An image recognizing method, comprising: receiving an original image; detecting an edge of a partial image from the original image by means of a predetermined filtering process; and recognizing an object present in the original image by using the detected edge and characteristic images which are classified and stored in advance, wherein the predetermined filtering process includes: generating a plurality of first images by filtering the original image with filters respectively generated along a plurality of channels; generating a second image by selecting a channel having a maximum value for each image unit, from the generated first images; and generating an output image whose edge is detected so as to maintain the consistency of channel by filtering the second image with filters respectively generated along the plurality of channels to generate a plurality of third images and comparing the channel of the second image with the channels of the third images. ### Claim 11 (depends on 10) The image recognizing method according to claim 10, wherein said generating of an output image comprises: generating a plurality of third images by filtering the second image with filters respectively generated along the plurality of channels; selecting a channel having a maximum value for each image unit, from the generated third images; comparing the channel selected for each image unit from the third images with the channel of the second image; and generating an output image by adjusting a value of the corresponding image unit according to the comparison result to maintain the consistency of the channel of the second image and the selected channel of the third images. ### Claim 12 (depends on 10) The image recognizing method according to claim 10, wherein the predetermined filtering process further includes: feeding back the output image as an input value in the operation of generating the second image. ### Claim 13 (depends on 10) The image recognizing method according to claim 10, wherein the channel represents a preset specific angle, and wherein the filter selectively detects an image of the set specific angle from the input image. ### Claim 14 (depends on 10) The image recognizing method according to claim 10, wherein said recognizing of an object present in the original image recognizes an object corresponding to the characteristic images of the partial region which are classified and stored in advance, by using a histogram or hierarchical learning model generated from an orientation component of the detected edge. ### Claim 15 (depends on 1) A computer-readable recording medium on which a program for executing the method defined in the claim 1 is recorded.