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.

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.

Abstract: A method of vapor sampling and its delivery to the porous sensory element(s) employed in chemical detectors/sensors for vapor(s) identification and quantification. The sampling and delivery system comprises a flow cell in which a sensory membrane is placed parallel to the flow, while an additional flow normal to the membrane is introduced using the Bernoulli effect. The bi-directional flow of vapors increases the interactions between the sensory material and vapor molecules, and enhances sensitivity.

Abstract: A method of vapor sampling and its delivery to the porous sensory element(s) employed in chemical detectors/sensors for vapor(s) identification and quantification. The sampling and delivery system comprises a flow cell in which a sensory membrane is placed parallel to the flow, while an additional flow normal to the membrane is introduced using the Bernoulli effect. The bi-directional flow of vapors increases the interactions between the sensory material and vapor molecules, and enhances sensitivity.