摘要:
A method for detecting a front vehicle comprises: a moving light detecting step of detecting a front moving light area of an own vehicle in at least one image of a front scene of the own vehicle obtained at a time; a vehicle candidate generating step of extracting a light area pair from the detected front moving light area so that a front vehicle candidate is generated; and a vehicle candidate verifying step of verifying that the front vehicle candidate is the front vehicle in cases where the front vehicle candidate meets predetermined characteristics of a vehicle light.
摘要:
A disclosed method for extracting a raster image of a page from a portable electronic document that includes (a) acquiring commands and resources of the raster image of the page by analyzing a format of the portable electronic document, (b) extracting first and second candidate raster images by processing the commands and the resources of the raster image of the page, (c) integrating the first and second candidate raster images as an integrated candidate raster image provided that the first and second candidate raster images are linked together, and (d) removing a pseudo-raster image from the integrated candidate raster image.
摘要:
Disclosed are an image processing apparatus and an image processing method. The image processing apparatus comprises a matching degree calculation unit configured to calculate respective matching degrees between an image waiting for processing and plural training images whose Kansei scores are pre-designated; and a Kansei score calculation unit configured to extract, from the plural training images, a predetermined number of training images corresponding to the maximum matching degree, and then based on the Kansei scores of the extracted training images with regard to a selected Kansei type, calculate a Kansei score of the image waiting for processing.
摘要:
Disclosed are an image enhancement method, an image enhancement device, an object detection method, and an object detection device. The image enhancement method comprises steps of (a) letting an input image be a waiting-for-enhancement image and detecting specific objects in the waiting-for-enhancement image; (b) determining, based on an image feature of an object area including the detected specific objects, an image enhancement parameter so that an after-enhancement image enhanced according to the image enhancement parameter points out the image feature; (c) enhancing the waiting-for-enhancement image; (d) detecting the specific objects in the after-enhancement image; and (e) determining whether a predetermined stopping condition is satisfied. If the predetermined stopping condition is satisfied, then the after-enhancement image having a best result of object detection up to now is output; otherwise the after-enhancement image serves as the waiting-for-enhancement image, and steps (b) to (e) are carried out repeatedly.