Description: LED字符分割和识别，
在此项目中我们主要完成了对拍摄到的6位LED数字进行分割和识别的课题。识别的数字范围在0~9。由于拍摄环境比较复杂，需要解决复杂背景下对LED字符的分割问题。我们利用了图像的色彩信息，先进行基于色彩的分割，然后对分割结果进行了固定阈值的二值化，并利用投影修正完成了对LED数码管图像的分割，并使用基于模板匹配的算法进行了识别，在匹配过程中对图像进行了尺寸归一化处理。最终得到了较好的识别效果，对10幅样图的识别率达到100％-LED character segmentation and recognition, in this major project, we completed the shooting of the six LED figures for the segmentation and identification issues. Recognition of the range between 0 and 9. As the filming environment more complex, the need to address complex background of the character LED division. We took advantage of the color image information, the first color-based segmentation, and then divided the results of a fixed threshold value of the two values, and to use the projector that completed a pair of LED digital image segmentation possession, and use based on template matching algorithm for the identification, in the process of matching the right image In one size treatment. Finally a better identification effect of 10 samples the recognition rate of 100% Platform: |
Size: 11673 |
Author:yinxun |
Hits:
Description: LED字符分割和识别，
在此项目中我们主要完成了对拍摄到的6位LED数字进行分割和识别的课题。识别的数字范围在0~9。由于拍摄环境比较复杂，需要解决复杂背景下对LED字符的分割问题。我们利用了图像的色彩信息，先进行基于色彩的分割，然后对分割结果进行了固定阈值的二值化，并利用投影修正完成了对LED数码管图像的分割，并使用基于模板匹配的算法进行了识别，在匹配过程中对图像进行了尺寸归一化处理。最终得到了较好的识别效果，对10幅样图的识别率达到100％-LED character segmentation and recognition, in this major project, we completed the shooting of the six LED figures for the segmentation and identification issues. Recognition of the range between 0 and 9. As the filming environment more complex, the need to address complex background of the character LED division. We took advantage of the color image information, the first color-based segmentation, and then divided the results of a fixed threshold value of the two values, and to use the projector that completed a pair of LED digital image segmentation possession, and use based on template matching algorithm for the identification, in the process of matching the right image In one size treatment. Finally a better identification effect of 10 samples the recognition rate of 100% Platform: |
Size: 11264 |
Author:yinxun |
Hits:
Description: 完成在复杂背景下的文字分割，如多色彩文字，倾斜文字，环形文字等-Completed in a complex context of text segmentation, such as multi-color text, tilted text, circular text, etc. Platform: |
Size: 288768 |
Author:laoqian |
Hits:
Description: In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
-In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to convert a given gray level MR image in to a color space image and then separate the position of tumor objects from other items of an MR image by using c means clustering
And histogram clustering .Experiments demonstrates that the method can successfully achieve segmentation for MR brain images to help pathologists distinguish exactly lesion size and region.
Platform: |
Size: 2048 |
Author:pramod |
Hits:
Description: In this project, we intend to segment natural images by combing colour and texture information. For this we will be using an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in the process of data partition. It is new formulation for the extraction of color features that will evaluate the input image in a multispace color representation. To achieve this, we will be using the opponent characteristics of the RGB and YIQ color spaces where the key component will be the inclusion of the Self Organizing Map (SOM) network in the computation of the dominant colors and estimation of the optimal number of clusters in the image. The texture features will be computed using a multichannel texture decomposition scheme based on Gabor filtering. Platform: |
Size: 347136 |
Author:rupesh |
Hits:
Description: The following Matlab project used for color segmentation by delta e color difference. Demo to perform very, very simple color detection in LAB color space. Platform: |
Size: 6144 |
Author:santosh |
Hits:
Description: Image Viewer is an image processing project developed in java. It contains filters like color invert, blur, sharpen, edge detection etc. The Gaussian and Impulsive noise can also be added in the image. The project also contains image enhancements like Binirization and Segmentation. Platform: |
Size: 195584 |
Author:Shubham Choubey |
Hits:
Description: 人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的，因此适合于功率受限的应用。(Face detection and tracking is an important and active research field, and it has a wide range of applications in video surveillance, biometrics, video coding and other fields. The goal of the project is to implement real-time systems on the FPGA board to detect and track faces. Face detection algorithms include skin segmentation and image filtering. The location of the human face is determined by calculating the centroid of the detected region. The software version of the algorithm is implemented independently and tested on MATLAB still images. Although the conversion from MATLAB to Verilog is not as smooth as expected, the experimental results demonstrate the accuracy and effectiveness of real-time systems, even in different light, facial gestures and color conditions. All hardware implementations are performed in real-time with minimal computational complexity and are therefore suitable for power constrained applications.) Platform: |
Size: 63488 |
Author:合发
|
Hits:
Search - color segmentation project