Intelligent Preprocess Algorithm

智能预处理算法

• 批准号: 12044212
• 负责人: YAMAKAWA Takeshi
• 金额: $ 69.31万
• 依托单位: Kyusyu Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 2000
• 资助国家: 日本
• 起止时间: 2000 至 2002
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-12044212/
• 关键词: Wavelet Neuron; Global Minimum; Local Stochastic Infomation; Stochastic Independency; Infomax ICA; Self-organizaing Maps; Code Book; Fuzzy Inference; 画像拡大; 知覚; 特徴抽出; 画像処理; 学習ハードウェア; アルゴリズム; 画像、文章、音声認識; 自己組織化; 適応システム; 網膜情報処理機能; 動き検出; エッジ

The following research results have been obtained;Filtering based on Wavelet Neuron and Local Statistical Information (2000) Noise reduction by low pass filtering and edge enhancement, which are complementary functions, are realized by the nonlinear description ability and the global minimum convergence of the Wavelet Neuron and verified with the real images. The hardware implementation of the system was achieved and exhibited the operating speed of 150 times as fast as software processing.Blind Source Separation of Mixed Image and Sound Applicable to Any Kinds of Statistical Independency (2001) By fusion of Infomax ICA presented by Bell & Sejnowski with self-organizing maps, Blind Source Separation (BSS) of any kinds of statistical characteristics was implemented. It can be achieved by adequate nonlinear mapping of the output signals, the nonlinearity of which is obtained by self-organizing maps from input audio signals and input images.Image Enlargement and Feature Extraction (2002) A pixel of the image is estimated by the surrounding pixels by two methods. The one employs the fuzzy inference and the other does the code book obtained by the self-organizing map. Both cases exhibited better quality of enlargement. The feature extraction was achieved by the wavelet network and implemented with FPGAs.

主要研究成果如下：基于小波神经元和局部统计信息的滤波（2000）利用小波神经元的非线性描述能力和全局最小收敛性，实现了低通滤波降噪和边缘增强这两种互补功能，并用真实的图像进行了验证。该系统的硬件实现速度是软件处理速度的150倍。适用于任何统计独立性的混合图像和声音的盲源分离（2001）通过将Bell & Sejnowski提出的Infomax伊卡与自组织映射相融合，实现了任意统计特征的盲源分离。它可以通过输出信号的适当非线性映射来实现，其非线性是通过从输入音频信号和输入图像的自组织映射来获得的。Image Encoding and Feature Extraction（2002）图像的像素通过两种方法由周围像素估计。一种是利用模糊推理，另一种是利用自组织映射得到的码本。两例病例均表现出更好的扩大质量。利用小波网络实现了特征提取，并用FPGA实现。

项目成果

Takeshi Yamakawa, Keiichi Horio, Jun-ichi Takatori: "Hardware Design of Self-Organizing Maps Using Pulse Width Modulation Based Signai Processing"Proc. of the 1st Int. Conf. on Soft Computing and Intelligent Systems(SCIS2002). (CD-ROM). (2002)

Takeshi Yamakawa、Keiichi Horio、Jun-ichi Takatori：“使用基于脉冲宽度调制的信号处理的自组织映射的硬件设计”Proc。

堀尾恵一, 山川烈: "自己組織化マップを用いたネオファジィニューロンのメンバーシップ関数配置に関する研究"第17回ファジィシステムシンポジウム講演論文集. 343-346 (2001)

Keiichi Horio、Retsu Yamakawa：“使用自组织映射对新模糊神经元的隶属函数排列进行研究”第 17 届模糊系统研讨会论文集 343-346 (2001)。

T.Yamakawa, K.Horio, J.Takatori: "Hardware Design of Self-Organizing Maps Using Pulse Width Modulation Based Signai Processing"Proc.of the 1st Int.Conf.on Soft Computing and Intelligent Systems (SCIS2002). CD-ROM. (2002)

T.Yamakawa、K.Horio、J.Takatori：“使用基于脉宽调制的信号处理的自组织映射的硬件设计”Proc.of the 1st Int.Conf.on Soft Computing and Intelligence Systems (SCIS2002)。

堀尾恵一, 山川烈: "適応部分空間SOMとフィードバックSOMを融合した時空間パターン認識"第4回自己組織化マップ研究会講演論文集. 11-14 (2003)

Keiichi Horio、Retsu Yamakawa：“结合自适应子空间 SOM 和反馈 SOM 的时空模式识别”第四届自组织地图研究组论文集 11-14 (2003)。

M.Ohtani, et al.: "Analog Metal-Oxide-Silicon IC Implementation of Motion-Detection Network Based on Biological Correlation Model"Jpn.J.Appl.Phys.. Vol.39,No.3A. 1160-1164 (2000)

M.Ohtani 等人：“基于生物相关模型的运动检测网络的模拟金属-氧化物-硅 IC 实现”Jpn.J.Appl.Phys.Vol.39，No.3A。