小学期制改革是目前高校教学模式改革的重要内容,目前已在众多高校中展开,实行小学期制的教学模式改革,既充分利用学校现有的教学资源,还是应用型、复合型人才培养模式的重要体现.文章试图以计算机与信息工程学院为例,探索小学期制实施效果.

利用数字图像分析技术,对根据实验实际得出的底物浓度图片进行检测,提取图像的关键参数,进而分析图像的直方图统计特性与PH值之间的线性关系,建立PH值与RGB分量的线性回归方程.采用Visual C++对线性方程进行检验,效果良好.

图像像素点在其领域内的灰度变化反映了图像的纹理特征,本文主要是利用图像获取技术、图像阈值分割技术、图像边缘检测技术、图像特征提取技术获取图像信息的参数,建立与图像温度相联系的线性回归方程,并通过Matlab验证该方程,效果良好.结论 对图像与反应温度之间存在的关系研究方面具有很好的应用价值.

阿克苏市林果面积不断扩大的同时林产品产量年年增加.然而林果病虫害的传播、扩散及爆发也日益严重.为准确诊断和防治阿克苏地区林果害虫,本研究系统收集了阿克苏市主要60种虫害的症状特征和相关防治管理知识,将害虫的典型症状和害虫的图像特征,对知识进行有效的表达,建立了虫害诊断与管理知识库.通过推理诊断可以鉴定害虫种类并给出相关害虫的生物及化学防治方法,可以为该地区果树主要害虫的综合防治提供科学依据.

The spectral characteristic of geography objects is not only the important content of remote sensing mechanism, but also the important basis for remote sensing application. The reflectance spectral characteristics reflect the physiochemi-cal properties of saline soil. With 3 kinds of typical saline soils in the arid area as the study objects, the reflectance spectrums of soils with different salt contents and soil moistures were measured, and the spectral characteristics of the spectrums were analyzed. The results showed that under dry condition, the reflectance of the three kinds of saline soils presented obvious high-low patterns, while under damp condition, there was no obvious pattern. With continuum removed ,the three kinds of saline soils showed significant difference in reflectance spectral characteristics. There was significant difference in the absorption depth of the two absorption val eys un-der dry and damp conditions, which could be used to identify these 3 saline soils. The result of this research can be used for the parametric inversion and classifica-tion of saline soil retrieval and classification, as wel as for the remote sensing monitoring on saline soil.

A new method based on watershed algorithm was proposed to raise the segmentation accuracy of the walnut leaf images,At firstdistance transformation and watershed segmentation were conducted on the binary crop disease leaf images to get the background marker.In the next step,both background markers and foreground markers were imposed on the gradient image by the compulsive minimum algorithm.At last,the watershed transformation was carried out on the modified gradient image. The results of experiment indicate that the method has certain validity and practical value.

由于多媒体技术和网络技术的不断发展，静态图像压缩编码被广泛应用于多媒体和网络技术，然而静态图像在存储和传输方面占用了大部分资源，造成不便。基于小波变换对核桃叶片图像进行多分辨率分解，对比研究haar和bior3．7算子对静态图像的编码，通过峰值信噪比和压缩前后比特数衡量图像编码效果，对不同层次的小波分解采用不同的量化电平，给出了基于bior3．7的小波图像编码优化算法，结果表明基于bior 3．7的小波图像压缩效果更佳，但压缩质量较haar压缩差。

合作学习是一种先进的实效的教学法,被广泛应用在教学过程中。在此结合数据结构课程的实验教学,阐述了合作学习在实验教学各个环节中的实施和应用,并提出了需要注意的问题。效果表明,在实验教学环节中采用合作学习的方法,确实能有效提高学生的学习兴趣和学习效果。

采用数字图像处理技术对水果进行外观品质分级和表面缺陷检测具有速度快和应用广泛的特点,香梨表面缺陷识别的研究相对较少,使用传统方法提取缺陷误判率较高,本文提出了一种库尔勒香梨表面缺陷检测与缺陷果识别的方法,对该方法测试表明取得了相对积极的效果,该方法简单有效但可能存在漏检的情况。

提高学生在真实情景中的实践能力和创新能力,一直是教学改革的主题。在"计算机图形学"教学中,以建构主义学习理论为指导,以学生为主体的任务型教学模式为手段,以程序设计语言为台阶,基于项目开展协作学习活动,为学生创设真实的问题情景和协作学习的环境,不但能激发学生的学习兴趣,而且能有效提升学生的综合能力。

The current wireless sensor nodes in a network of distribution may be uneven phenomenon,cause the node energy consumption,large energy consumption of cluster heads away from the Sink node,destroy the sensor network topology structure. Causes the network energy imbalance phenomenon,communication is blocked. A power control algorithm based on fuzzy c-means node. Using uniform traversal characteristic of the chaotic sequence and efficient global searching ability of differential evolution algorithm,the attributes of the energy of sensor nodes within the network search,using chaos mapping Logistics to rival node optimization search,the chaos disturbance quantity is introduced in the evolution of population,to complete the optimal energy node selection. Simulation experiments show that the optimal algorithm of wireless sensor network node clustering performance effects increase obviously,improve communication efficiency by more than 25%. Have very good performance and practical application effect.

Through subtotaling a variety of crops nutrient deficiency leaves,with ADO databases and C++ programming language combined with GDI+ technology for processing image including querying,browsing and labelling image.

本文利用Flash MX软件设计“计算机图形学”直线生成算法的动态演示课件,使用者在使用本课件进行学习时,对算法的含义以及算法的每句语句的具体作用,都能通过动态演示来加以理解,达到帮助使用者掌握图形学直线生成算法内容的目的.

In order to improve the accuracy and efficiency of the detection and classification of Korla fragrant pears damage,by the integrated use of computer vision technology and artificial neural network,the automatic detection and classification of pear injury was realized.Firstly,the pear image was obtained by the computer vision system,and then noise was removed by image processing,image segmentation,normalization method and other basic image processing to deal with the injury image,and the image feature was characterized by extracting three features,including 8 characteristic parameters,and using artificial neural network trained by multi-layer BP algorithm,the fragrant pear injury classification was realized.The results were analyzed.The classification of defects in pear fruit and normal fruit was also investigated.

Walnut deficiency is widespread during walnut cultivation , and it often induced another infectivity diseases,therefore,timely recognition and prevention for deficiency are important part of the promotion walnut production and the income of farmers .This research tries to discriminate walnut deficiency by using RGB color model,with chroma as key features .The main process is , first, converted leaves image to grayscale , and then calculated threshold by using the least squares method and segmented image with this threshold to distinction between normal and deficiency regions ,at last,compared pre-pixel gray in blade area with the typical gray values which derived from statistical analysis to determine the missing elements of walnut .Implemented the algorithm by Visual C++language ,and which can get better results .

Walnut deficiency is manifested in leaf color and texture,now more often judged by expert by using the naked eye.This way cannot resolve problems that the deficiency symptoms are not apparent in the early stage or in similar case.Using computer vision technology is considered here to acquire some of the color features that expert eyes could not find to complete the identification of deficiency type.The design of leaves color red green blue(RGB)model crawl Manager,based on Qt technology,can open pictures with jpg,gif,and BMP format.It also can output a.txt file to specified directory which record the all or part regional of pixel points RGB value by user needs.The file will be used to extract leaves color features in the Walnut deficiency pigment syndrome species judgment.