# US 2014/0193098 A1 · Image Processing Method and Image Processing Device Thereof for Image Alignment > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2014/0193098 A1 - Document ID: US20140193098A1 - Status: Published application - Kind: A1 - Application number: 13/918,991 - Filed: 2013-06-17 - Published: 2014-07-10 - Earliest claimed: 2013-01-09 - Assignees: Novatek Microelectronics Corp.; Tsing Hua University - Inventors: Pin-Ching Su; Hwann-Tzong Chen; Ming-Feng Chiang - Web page: https://patentgrep.com/patent/US20140193098A1 ## CPC - G06T 7/35: using statistical methods - G06T 2207/20208: High dynamic range [HDR] image processing - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract An image processing method for image alignment, includes sequentially receiving a plurality of images; generating at least one threshold corresponding to each image according to a plurality of intensities of each image of the plurality of images; converting each image according to the thresholds of each image, for generating a plurality of binary images; acquiring a plurality of characteristic pixels of each binary image according to the plurality of binary images; and aligning the plurality of images according to the plurality of characteristic pixels of each binary image. ## Claims ### Claim 1 An image processing method for image alignment, comprising: sequentially receiving a plurality of images; generating at least one threshold corresponding to each image according to a plurality of intensities of each image of the plurality of images; converting each image according to the thresholds of each image, for generating a plurality of binary images; acquiring a plurality of characteristic pixels of each binary image according to the plurality of binary images; and aligning the plurality of images according to the plurality of characteristic pixels of each binary image. ### Claim 2 (depends on 1) The image processing method of claim 1, wherein each image comprises different intensity ranges. ### Claim 3 (depends on 1) The image processing method of claim 1, wherein the thresholds of each image comprises a median of the intensities of each image. ### Claim 4 (depends on 1) The image processing method of claim 1, wherein the thresholds of each image comprises a lower quartile of the intensities of each image. ### Claim 5 (depends on 1) The image processing method of claim 1, wherein the thresholds of each image comprises a higher quartile of the intensities of each image. ### Claim 6 (depends on 1) The image processing method of claim 1, wherein the step of acquiring the plurality of characteristic pixels of each binary image according to the plurality of binary images comprises: generating a plurality of pixel areas, each pixel area corresponds to each pixel of each binary image; acquiring a pixel area difference of each pixel area according to differences between pixels of each pixel area; and determining the plurality of characteristic pixels of each binary image according to the pixel area difference of each pixel area and a characteristic threshold. ### Claim 7 (depends on 6) The image processing method of claim 6, wherein the step of acquiring the pixel area difference of each pixel area according to the differences between pixels of each pixel area comprises: increasing the pixel area difference of a first pixel area when the first pixel of the first pixel area is different from a first horizontal pixel horizontally adjacent to the first pixel. ### Claim 8 (depends on 6) The image processing method of claim 6, wherein the step of acquiring the pixel area difference of each pixel area according to the differences between pixels of each pixel area comprises: increasing the pixel area difference of a first pixel area when a first pixel of the first pixel area is different from a first vertical pixel vertically adjacent to the first pixel. ### Claim 9 (depends on 6) The image processing method of claim 6, wherein the step of determining the plurality of characteristic pixels of each binary image according to the pixel area difference of each pixel area and the characteristic threshold comprises: determining a first pixel corresponding to a first pixel area is one of the plurality of characteristic pixels of each binary image when the pixel difference of the first pixel area exceeds the characteristic threshold. ### Claim 10 (depends on 6) The image processing method of claim 6, wherein the step of aligning the plurality of images according to the plurality of the characteristic pixels of each binary image comprises: aligning the plurality of images according to the plurality of pixel areas corresponding to the plurality of characteristic pixels. ### Claim 11 An image processing device for aligning images, comprising: a processing unit; and a storage unit for storing a program code, the program code instructs the processing unit to perform the following steps: sequentially receiving a plurality of images; generating at least one threshold corresponding to each image according to a plurality of intensities of each image of the plurality of images; converting each image according to the thresholds of each image, for generating a plurality of binary images; acquiring a plurality of characteristic pixels of each binary image according to the plurality of binary images; and aligning the plurality of images according to the plurality of characteristic pixels of each binary image. ### Claim 12 (depends on 11) The image processing device of claim 11, wherein each image comprises different intensity ranges. ### Claim 13 (depends on 11) The image processing device of claim 11, wherein the thresholds of each image comprises a median of the intensities of each image. ### Claim 14 (depends on 11) The image processing device of claim 11, wherein the thresholds of each image comprises a lower quartile of the intensities of each image. ### Claim 15 (depends on 11) The image processing device of claim 11, wherein the thresholds of each image comprises a higher quartile of the intensities of each image. ### Claim 16 (depends on 11) The image processing device of claim 11, wherein the step of acquiring the plurality of characteristic pixels of each binary image according to the plurality of binary images comprises: generating a plurality of pixel areas, each pixel area corresponds to each pixel of each binary image; acquiring a pixel area difference of each pixel area according to differences between pixels of each pixel area; and determining the plurality of characteristic pixels of each binary image according to the pixel area difference of each pixel area and a characteristic threshold. ### Claim 17 (depends on 16) The image processing device of claim 16, wherein the step of acquiring the pixel area difference of each pixel area according to the differences between pixels of each pixel area comprises: increasing the pixel area difference of a first pixel area when the first pixel of the first pixel area is different from a first horizontal pixel horizontally adjacent to the first pixel. ### Claim 18 (depends on 16) The image processing device of claim 16, wherein the step of acquiring the pixel area difference of each pixel area according to the differences between pixels of each pixel area comprises: increasing the pixel area difference of a first pixel area when a first pixel of the first pixel area is different from a first vertical pixel vertically adjacent to the first pixel. ### Claim 19 (depends on 16) The image processing device of claim 16, wherein the step of determining the plurality of characteristic pixels of each binary image according to the pixel area difference of each pixel area and the characteristic threshold comprises: determining a first pixel corresponding to a first pixel area is one of the plurality of characteristic pixels of each binary image when the pixel difference of the first pixel area exceeds the characteristic threshold. ### Claim 20 (depends on 16) The image processing device of claim 16, wherein the step of aligning the plurality of images according to the plurality of the characteristic pixels of each binary image comprises: aligning the plurality of images according to the plurality of pixel areas corresponding to the plurality of characteristic pixels.