Weltrend Semiconductor Inc.

Hung-Chih Chiang

Hsuan-Ying Chen

Shui-Chin Yeh

Chi-Cheng Cheng

Chien-Ming Chen

Chun-Ting Lin

Te-Wei Hsu

Meng-Che Tsai

Ta Hsien

Ming-Liang Chen

Ian Hsu

Hsiu-Yuan Fan

Ming-Feng Wu

Image dewarping includes capturing a source image from a camera, selecting an input row of pixels from the source image, if the input row of pixels comprises a plurality of input pixels in a region of interest in the source image, storing the plurality of input pixels to a memory to generate an input segment of pixels, when a plurality of pixels required to generate an output row of pixels are all stored in the memory, reading from the memory the plurality of pixels corresponding to the output row of pixels, and performing coordinate transformation on the plurality of pixels to generate the output row of pixels, and when coordinate transformation has been completed on the plurality of pixels, releasing from the memory an input segment of pixels of the plurality of input segments of pixels that does not correspond to other output rows of pixels.

Image dewarping device and method

A method of image conversion includes selecting a set of pixels from a source image, storing the set of pixels in a memory, determining whether the set of pixels includes at least one pixel requiring coordinate conversion by querying a predetermined mapping table, if the set of pixels includes the at least one pixel requiring coordinate conversion, converting the coordinates of the at least one pixel, and after converting the coordinates of the at least one pixel, removing the set of pixels from the memory.

Camera image conversion method capable of reducing processing time

A barcode detection method includes obtaining a gradient of each pixel in an image, generating a gradient phase and a gradient magnitude of each pixel according to the gradient, and binarizing the gradient magnitude of each pixel to generate a binary image, generating a sliding window on the image, sampling the binary image vertically and horizontally within the sliding window to generate the numbers of grayscale value variations in the vertical and horizontal directions, locating the most intensive flip region according to the grayscale variations in the vertical and horizontal directions, locating a core barcode region according to the most intensive flip region, capturing the gradient phase of the pixels in the core barcode region to generate a gradient phase distribution, generating a barcode format detection result according to the gradient phase distribution, and locating the barcode region according to the barcode format detection result.

Barcode detection method and barcode detection system for increasing detection efficiency

A barcode detection method includes acquiring an image by a camera, acquiring a horizontal gradient and a vertical gradient of each pixel of the image within a region, generating a gradient phase and gradient magnitude of each pixel according to the horizontal gradient and the vertical gradient, performing a binarization process to the gradient magnitude of each pixel of the image within the region for generating a binarized image, vertically and horizontally sampling the binarized image for generating the gray level flip count in a vertical direction and a horizontal direction, locating an image region of a barcode according to the gray level flip count in the vertical direction and the horizontal direction, acquiring a plurality of gradient phases of all pixels within the image region for generating a gradient phase distribution, and generating a barcode format detection result according to the gradient phase distribution.

Barcode detection method and barcode detection system for increasing detection efficiency by using gray level flip counts

A panoramic image stitching method includes acquiring a plurality of first images, converting camera image plane coordinates of each first image of the plurality of first images into virtual image plane coordinates for generating a second image according a world coordinate system, identifying a plurality of feature points on the second image, calibrating coordinates of the plurality of feature points on the second image, generating a calibrated second image according to calibrated coordinates of the plurality of feature points on the second image, and stitching a plurality of calibrated second images for generating a panoramic image.

Panoramic image stitching method for reducing geometric distortion by using an image registration process and system thereof

An image perspective conversion method includes acquiring a first image, partitioning a predetermined region on the first image into a plurality of polygonal sub-regions, acquiring a plurality of first coordinates corresponding to the plurality of polygonal sub-regions, converting the plurality of first coordinates into a plurality of second coordinates according to a world coordinate system, and interpolating a plurality of pixels among the plurality of second coordinates for generating a second image.

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Hsinchu, Taiwan

Hung-Chih Chiang