Automatic Extraction of the Text Drawn on 3-Dimensional Space

本研究选择存在于城市生活空间中的文本，如通知和引导显示，作为机器视觉研究的候选对象，旨在提取和获取存在于生活环境中的文本。因此，假设目标输入图片是在普通照明和摄影条件下拍摄的，并不一定保证在良好摄影条件下输入的图片。在此基础上，从本研究中自适应地计算二进制值而得到的高清晰度二进制图像中提取字符域，并假设并修正摄影时的摄像机与图像的三维关系，以及使用关于所获得的字符的布置信息的对象字符序列。第一年的研究程度抓住了性格 关于我们 布置在摄影环境下的环境三维平面上，该摄影环境可以基于各种照明、色调和对比度来控制在实验室中建立的各种照明条件，并且开发了不易受光源条件影响的鲁棒二值图像算法。其次，针对室内环境下排列的包含字符序列的二值图像，建立了字符域提取算法。注意到字符序列中每个字符都是线性排列的特点，对一行左右的字符序列进行了实验，如导航显示器，验证了本研究的算法可以从具有复杂背景的字符序列图像的二值图像中提取出字符序列的域。与上述研究并行地，建立了使用从对面到平面捕获的图片来假定三维参数的算法，用于在平面（例如白色板）上绘制矩形的序列。接下来的财年开发了从三维参数生成右对字符序列图像的算法，并将其统一到一个系统中，根据上一财年建立的二值图像的鲁棒形成和鲁棒字符序列提取算法，以及三维参数推定算法，并在真实的环境中进行了实验，获得了良好的结果。少

This research chooses text, which exists in a city life space, such as a notice and a guidance display, as a candidate for research of a machine vision, and aims at the extraction and the acquisition of text, which exist in a living environment. Therefore, it assumes that the target input picture is captured under ordinary lighting and photography conditions, and the picture input in good photography conditions is not necessarily guaranteed. The technique of generating the front face image of binary level character pictures suitable for character recognition was established by standing on such a premise, extracting a character domain from the high-definition binary image obtained by calculating a binary value in adaptation in this research, and presuming and rectifying 3-dimensional relation between the camera at the time of photography, and an object character sequence using the arrangement information on the obtained character. The degree of research first year captured the character … More arranged on an environmental 3-dimensional plane under the photography environment which can control the various lighting conditions built in the laboratory by the basis of various lightings, a color tone, and contrast, and developed robust binary image algorithm which cannot be easily influenced by light source conditions. Next, character domain extraction algorithm was built for the binary image containing the character sequence arranged at indoor environment. Paying attention to the feature of a character sequence with each character being arranged linearly, it experimented to character sequences of about one line, such as a guidance display, and it was checked that the domain of a character sequence can be extracted out of the binary image of the character sequence picture which has a complicated background by the algorithm of this research. The algorithm which presumes a 3-dimensional parameter using the picture captured from across to the plane for the sequence of the rectangle drawn on planes, such as a white board, in parallel to the above-mentioned research was built. The following fiscal year developed the generation algorithm of the right pair character sequence picture from a 3-dimensional parameter, unified it to one system in accordance with the robust formation of binary image and robust character sequence extraction algorithm which were built in the preceding year, and 3-dimensional parameter presumption algorithm, and obtained the result with good conducting an experiment in real environment. Less