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c_fusejiance
- 此程序使用的集成环境为TI公司的CCS。程序的平台是使用合众达的VPMDM642 c_fusejiance是用DSP进行肤色检测。人体的皮肤颜色是人体的一个重要特征，肤色检测被广泛的应用于人脸跟踪、人脸检测、手语识别、敏感图像过滤等领域中. -use of this procedure for the integrated environment TI's CCS. Procedures for the use of the platform is up to the UCO i
Lab523-VideoMedianFilter
- DM642上的图像滤波程序 是中值滤波算法 -DM642 the image filtering process is Median filtering algorithm
5416program1
- 一个5416的关于图象过滤与取反的源代码,完整巨献,也是一公司的内部资料..要尊重别人的劳动成果,好好学习下-on a 5416 image filtering and anti-from the source code, complete perform distinctive is a company's internal information .. must respect other people's hard work, to learn where
Blackfin_ImageAnalysis
- ADI BF DSP的几种常用的图象滤波汇编优化后的代码-ADI BF Several DSP Image filtering compilation optimized code
CCS2.20Arith
- 图象的均值滤波，有很详细的文档。ccs2.20调试通过-image filtering, a very detailed document. Debugging through ccs2.20
tms
- tms320c6711 is texas instruments digital signal processor .The given book explains how to use ccs and write some simple applications such as sine wave generation,audio filtering ,image loading. Very useful resource for developers
mid
- 本程序时DSP上实现的图像中值滤波，首先将dat文件导入TI开发的CCS上进行处理，其中在CCS上的编程用的是C语言编写。其中dat文件先通过matlab将图片转化得到的。-This program is implemented on a DSP image median filtering, first developed by TI dat file into CCS on the treatment, which in the CCS is used on the C programmin
MedianFilter
- 通过基于基于MD642开发板的代码调试，理解和掌握图像中值滤波的原理和方法。 -Understand and grasp the median filtering image of principle and method.
Lab6.6-Dm642_Image-MedianFilter
- 基于DM642的图像中值滤波程序，经实际测试可用，供开发参考。-DM642-based image filtering process, the actual test can be used for the development of reference.
MedianFilter
- 图像处理中值滤波算法 CCS例程 针对芯片DM642-Image processing routines for median filtering algorithm CCS DM642 chip
SEED303_AverageFilter
- 基于DM642的图像3*3均值滤波的实现-Achieve DM642 image 3* 3 Mean Filtering
file1
- program for frequency domain filtering of image
DspExam2014B
- 对图像进行锐化处理（高通滤波处理），用C55xx汇编语言编写处理算法。-Sharpening the image (high-pass filtering), processing with C55xx assembly language.
ELEC - 722 DIP
- The aims to give the students the fundamentals of digital image processing, covering topics from the following list: image models and physical imaging systems; visual perception; rendering systems; linear filtering; linear transforms; mathematical
7137
- Independent component analysis for image processing, Use matlab intelligent predictive control algorithm, The signal spectral analysis and filtering.