IMAGE FILTERING METHOD FOR DETECTING ORIENTATION COMPONENT OF EDGE AND IMAGE RECOGNIZING METHOD USING THE SAME
First 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.
2 Assignments
0 Petitions
Accused Products
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.
6 Citations
15 Claims
-
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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 15)
-
-
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. - View Dependent Claims (11, 12, 13, 14)
-
Specification