Histogram equalization using java
標簽： equalization Histogram using java
上傳時間： 2017-09-14
上傳用戶：thesk123
Histogram, periodogram
標簽： periodogram Histogram
上傳時間： 2014-01-20
上傳用戶：13160677563
附件下載proteus7.8破解版包含了Proteus中文入門教程在內 Proteus Pro 7.8 sp2 漢化破解版，該Proteus 漢化破解版解決了7.2版本運行10分鐘就自動關閉的問題，是目前最Protus中最高的版本。Proteus 不僅具有其它EDA工具軟件的仿真功能，還能仿真單片機及外圍器件，它是目前最好的仿真單片機及外圍器件的工具。從原理圖布圖、代碼調試到單片機與外圍電路協同仿真，一鍵切換到PCB設計，真正實現了從概念到產品的完整設計。 Proteus 是目前世界上唯一將電路仿真軟件、PCB設計軟件和虛擬模型仿真軟件三合一的設計平臺，其處理器模型支持8051、HC11、PIC10/12/16/18/24/30/DsPIC33、AVR、ARM、8086和MSP430等，Proteus為您建立完整的電子設計開發環境。中文系統可用，不需修改 “非unicode程序的語言”設置，不用改區域語言設置，也不要安裝其他破解。 proteus7.8破解版安裝步驟： 先安裝P7.8sp2.exe，再運行"Proteus Pro 7.8 SP2破解1.0.exe"破解，再漢化。這個漢化補丁用7.5的漢化修改而來，覆蓋前注意備份原文件，如果漢化報錯，就將“漢化報錯.exe” 復制到安裝文件夾再運行。 Proteus 不僅具有其它EDA工具軟件的仿真功能，還能仿真單片機及外圍器件，它是目前最好的仿真單片機及外圍器件的工具。從原理圖布圖、代碼調試到單片機與外圍電路協同仿真，一鍵切換到PCB設計，真正實現了從概念到產品的完整設計。 Proteus中文入門教程 Proteus ISIS是英國Labcenter公司開發的電路分析與實物仿真軟件。它運行于Windows操作系統上，可以仿真、分析(SPICE)各種模擬器件和集成電路，該軟件的特點是：①實現了單片機仿真和SPICE電路仿真相結合。具有模擬電路仿真、數字電路仿真、單片機及其外圍電路組成的系統的仿真、RS232動態仿真、I2C調試器、SPI調試器、鍵盤和LCD系統仿真的功能；有各種虛擬儀器，如示波器、邏輯分析儀、信號發生器等。②支持主流單片機系統的仿真。目前支持的單片機類型有：68000系列、8051系列、AVR系列、PIC12系列、PIC16系列、PIC18系列、Z80系列、HC11系列以及各種外圍芯片。③提供軟件調試功能。在硬件仿真系統中具有全速、單步、設置斷點等調試功能，同時可以觀察各個變量、寄存器等的當前狀態，因此在該軟件仿真系統中，也必須具有這些功能；同時支持第三方的軟件編譯和調試環境，如Keil C51 uVision2等軟件。④具有強大的原理圖繪制功能。總之，該軟件是一款集單片機和SPICE分析于一身的仿真軟件，功能極其強大。本章介紹Proteus ISIS軟件的工作環境和一些基本操作。 Proteus中文入門教程目 錄 第一章 概述 2 一、進入Proteus ISIS 2 二、工作界面 3 三、基本操作 3 圖形編輯窗口 3 預覽窗口（The Overview Window） 4 對象選擇器窗口 5 圖形編輯的基本操作 5 參考1 10 參考2作原理圖仿真調試 12 四、實例一 16 電路圖的繪制 17 KeilC與Proteus連接調試 26 五、實例二 30 使用元件工具箱 30 使用狀態信息條 30 使用對話框 30 使用仿真信息窗口 30 關閉Proteus ISIS 30 四、菜單命令簡述 31 主窗口菜單 31 表格輸出窗口(Table)菜單 33 方格輸出窗口(Grid)菜單 33 Smith圓圖輸出窗口(Smith)菜單 33 直方圖輸出窗口(Histogram)菜單 33 第二章 基于51的PID爐溫度調節器的硬件設計及仿真 34
上傳時間： 2013-11-20
上傳用戶：tangsiyun
Proteus中文入門基礎教程 目 錄 第一章 概述... 2 一、進入Proteus ISIS. 2 二、工作界面... 3 三、基本操作... 3 圖形編輯窗口... 3 預覽窗口（The Overview Window）... 4 對象選擇器窗口... 5 圖形編輯的基本操作... 5 參考1. 10 參考2作原理圖仿真調試... 12 四、實例一... 16 電路圖的繪制... 17 KeilC與Proteus連接調試... 26 五、實例二... 30 使用元件工具箱... 30 使用狀態信息條... 30 使用對話框... 30 使用仿真信息窗口... 30 關閉Proteus ISIS. 30 四、菜單命令簡述... 31 主窗口菜單... 31 表格輸出窗口(Table)菜單... 33 方格輸出窗口(Grid)菜單... 33 Smith圓圖輸出窗口(Smith)菜單... 33 直方圖輸出窗口(Histogram)菜單... 33 第二章 基于51的PID爐溫度調節器的硬件設計及仿真（未完成）... 34
上傳時間： 2013-10-31
上傳用戶：hanli8870
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster Histogram, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world
標簽： data transactional categorical clustering
上傳時間： 2015-10-24
上傳用戶：evil
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern recognition and learning theory are reviewed in a two-class pattern classification setting. This basic model best illustrates intuition and analysis techniques while still containing the essential features and serving as a prototype for many applications. Topics discussed include nearest neighbor, kernel, and Histogram methods, Vapnik–Chervonenkis theory, and neural networks. The presentation and the large (thogh nonexhaustive) list of references is geared to provide a useful overview of this field for both specialists and nonspecialists.
標簽： statistical Classical Abstract pattern
上傳時間： 2013-11-25
上傳用戶：www240697738
北京大學ACM比賽題目 Write a program to read four lines of upper case (i.e., all CAPITAL LETTERS) text input (no more than 72 characters per line) from the input file and print a vertical Histogram that shows how many times each letter (but not blanks, digits, or punctuation) appears in the all-upper-case input. Format your output exactly as shown.
標簽： CAPITAL LETTERS program Write
上傳時間： 2014-01-17
上傳用戶：410805624
自己編寫的一個簡單的matlab程序，實現圖像直方圖的均衡化及規定化處理.image Histogram equalization,Histogram matching(specification).
上傳時間： 2014-11-11
上傳用戶：klin3139
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint Histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
標簽： present modalities existence different
上傳時間： 2017-04-03
上傳用戶：qunquan
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint Histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
標簽： present modalities existence different
上傳時間： 2014-03-04
上傳用戶：15736969615
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