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  • OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented i

    OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

    標(biāo)簽: OTSU segmentation Gray-level segmented

    上傳時(shí)間: 2017-04-24

    上傳用戶:yuzsu

  • AVR單片機(jī)數(shù)碼管秒表顯示

    #include<iom16v.h> #include<macros.h> #define uint unsigned int #define uchar unsigned char uint a,b,c,d=0; void delay(c) { for for(a=0;a<c;a++) for(b=0;b<12;b++); }; uchar tab[]={ 0xc0,0xf9,0xa4,0xb0,0x99,0x92,0x82,0xf8,0x80,0x90,

    標(biāo)簽: AVR 單片機(jī) 數(shù)碼管

    上傳時(shí)間: 2013-10-21

    上傳用戶:13788529953

  • lpc2292/lpc2294 pdf datasheet

    The LPC2292/2294 microcontrollers are based on a 16/32-bit ARM7TDMI-S CPU with real-time emulation and embedded trace support, together with 256 kB of embedded high-speed flash memory. A 128-bit wide memory interface and a unique accelerator architecture enable 32-bit code execution at the maximum clock rate. For critical code size applications, the alternative 16-bit Thumb mode reduces code by more than 30 pct with minimal performance penalty. With their 144-pin package, low power consumption, various 32-bit timers, 8-channel 10-bit ADC, 2/4 (LPC2294) advanced CAN channels, PWM channels and up to nine external interrupt pins these microcontrollers are particularly suitable for automotive and industrial control applications as well as medical systems and fault-tolerant maintenance buses. The number of available fast GPIOs ranges from 76 (with external memory) through 112 (single-chip). With a wide range of additional serial communications interfaces, they are also suited for communication gateways and protocol converters as well as many other general-purpose applications. Remark: Throughout the data sheet, the term LPC2292/2294 will apply to devices with and without the /00 or /01 suffix. The suffixes /00 and /01 will be used to differentiate from other devices only when necessary.

    標(biāo)簽: lpc datasheet 2292 2294

    上傳時(shí)間: 2014-12-30

    上傳用戶:aysyzxzm

  • 數(shù)字運(yùn)算

    數(shù)字運(yùn)算,判斷一個(gè)數(shù)是否接近素?cái)?shù) A Niven number is a number such that the sum of its digits divides itself. For example, 111 is a Niven number because the sum of its digits is 3, which divides 111. We can also specify a number in another base b, and a number in base b is a Niven number if the sum of its digits divides its value. Given b (2 <= b <= 10) and a number in base b, determine whether it is a Niven number or not. Input Each line of input contains the base b, followed by a string of digits representing a positive integer in that base. There are no leading zeroes. The input is terminated by a line consisting of 0 alone. Output For each case, print "yes" on a line if the given number is a Niven number, and "no" otherwise. Sample Input 10 111 2 110 10 123 6 1000 8 2314 0 Sample Output yes yes no yes no

    標(biāo)簽: 數(shù)字 運(yùn)算

    上傳時(shí)間: 2015-05-21

    上傳用戶:daguda

  • 人工智能中模糊邏輯算法 FuzzyLib 2.0 is a comprehensive C++ Fuzzy Logic library for constructing fuzzy logic sy

    人工智能中模糊邏輯算法 FuzzyLib 2.0 is a comprehensive C++ Fuzzy Logic library for constructing fuzzy logic systems with multi-controller support. It supports all commonly used shape functions and hedges, with full support for the various types of Aggregation, Correlation, Alphacut, Composition, Defuzzification methods. The latest version of the C++ Fuzzy Logic Class Library contains all the C++ source code and comes complete with a usage example for building a multi-controllers fuzzy logic model.

    標(biāo)簽: comprehensive constructing FuzzyLib library

    上傳時(shí)間: 2013-12-17

    上傳用戶:dbs012280

  • With OpenSSL 0.9.6, a new component has been added to support external crypto devices, for example a

    With OpenSSL 0.9.6, a new component has been added to support external crypto devices, for example accelerator cards. The component is called ENGINE, and has still a pretty experimental status and almost no documentation. It s designed to be fairly easily extensible by the calling programs.

    標(biāo)簽: component external OpenSSL devices

    上傳時(shí)間: 2015-10-01

    上傳用戶:ryb

  • C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over

    C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results

    標(biāo)簽: marvelous although language Matthew

    上傳時(shí)間: 2014-01-22

    上傳用戶:妄想演繹師

  • a bprogram is visible to a

    a b\program is visible to a

    標(biāo)簽: bprogram visible is to

    上傳時(shí)間: 2016-11-18

    上傳用戶:gundan

  • We propose a technique that allows a person to design a new photograph with substantially less effo

    We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with semantic annotations from any photo collection.

    標(biāo)簽: substantially photograph technique propose

    上傳時(shí)間: 2016-11-24

    上傳用戶:三人用菜

  • Imperfect C++ Practical Solutions for Real-Life Programming C++, although a marvelous language, isn

    Imperfect C++ Practical Solutions for Real-Life Programming C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results.

    標(biāo)簽: Programming Imperfect Practical Solutions

    上傳時(shí)間: 2014-03-02

    上傳用戶:songrui

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