Description: 计算图像HSV分量的数值，可用于图像颜色分割的统计-Calculated image HSV component values can be used for image color segmentation statistics Platform: |
Size: 1024 |
Author:三藏 |
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Description: 彩色图像分割算法，
首先rgb到hsv，然后量化，分割成许多个小区域，然后用区域合并算法进行合并，一直预先设定的区域数目或者达到满足的聚类条件为止停止合并-Color Image Segmentation Algorithm, first of all, rgb to hsv, and then quantified, separated into many small regions, and then use the region merging algorithm to merge, has been pre-set number of regional or cluster to meet the conditions to reach so far to stop the merger Platform: |
Size: 205824 |
Author:gajs |
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Description: 这个是彩色图像分割方法。与RegionExtract采用的方法不同。
首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space. Platform: |
Size: 172032 |
Author:gajs |
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Description: 在HSV色彩空间进行彩色图像分割源码，包括学习和训练算法，获得分割参数-In the HSV color space for color image segmentation source code, including learning and training algorithm, access to segmentation parameters Platform: |
Size: 1593344 |
Author:Brad Bibson |
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Description: 车牌识别系统一般包括车牌定位、车牌切分、字符识别三部分，而车牌定位是车牌识别系统的基础和前提，其准确与否直接影响着车牌识别的准确率。本文针对这一关键问题进行了研究，提取了车牌的颜色特征并结合其纹理特征、几何特征以及投影特征进行准确定位。采用HSV颜色模型，利用颜色空间距离相似度计算分割颜色；针对颜色分割后的图像，车牌区域内水平方向上具有的连续跳变的特征，采用行扫描法确定车牌的上下边界；车牌区域内垂直方向具有投影特征，采用垂直投影法确定车牌的左右边界；最后根据车牌的宽高比判断是否是真实的车牌域。实验结果表明该方法效果较好、精度较高。-License plate recognition system generally includes license plate location, license plate segmentation and character recognition. And vehicle license plate location is a key stage of license plate recognition system, whose accuracy directly affects license plate recognition system’s performance. This paper studied the key issue, which mainly used color feature combining the texture feature, geometric feature to obtain accurately positioning. The HSV color space and similarity calculation was used to segmented image. Because the vehicle license plate have this property of consecutive beeps in horizontal direction, and line scanning method was used to determine the top and the bottom boundary of vehicle license plate. And also the vertical projection was used to determine the left and right boundary of the vehicle license plate because of its projection property in vertical direction. Finally, according to the HVR to judge whether the area is true. Experimental results showed that the al Platform: |
Size: 25062400 |
Author:张志斌 |
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Description: 基于HSI颜色空间的绝缘子图像的分割HSI color space based on image segmentation insulator-HSI color space based on image segmentation insulator Platform: |
Size: 354304 |
Author:zaizai112 |
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Description: 利用hsv颜色模板对图像进行分割。在OpenCV环境下开发完成。-Hsv color template using the image segmentation. Environment developed in OpenCV. Platform: |
Size: 1555456 |
Author:任雪菲 |
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Description: 台湾大学几位学者写的基于K-均值算法的快速图像分割，用到基于HSV颜色空间的直方图-Fast Image Segmentation Based on K-Means
Clustering with Histograms in HSV Color Space Platform: |
Size: 586752 |
Author:gaotengfei |
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Description: 图像分割，将红提葡萄的图像转化大hsv色彩空间，然后提取经的图像。-Segmentation, the red grape of the images into large hsv color space, and then extracted by the image. Platform: |
Size: 31744 |
Author:xixihaha |
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Description: 图像分割应用，采用颜色分割检测图片中图形元素，并自动分析种类，得出灰度图，hsv图等-Application of image segmentation using color segmentation of fruit detection in the picture, and automatically analyzes the types derived grayscale Platform: |
Size: 4204544 |
Author:凯伊路 |
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Description: 彩色图像的量化分割，分割效果还可以，是基于HSV空间的-Quantitative color image segmentation, segmentation is based on the HSV space Platform: |
Size: 172032 |
Author:建华 |
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Description: 这个文章是用HSV空间进行彩色图像分割，效果较好，望采纳-This article is for color image segmentation using HSV space better, hope to adopt Platform: |
Size: 254976 |
Author:jerry |
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Description: 用VC6.0编写的程序，可以实现对彩色图像R、G、B通道及H、S、V通道的分割显示、直方图显示，图像处理的基础工作-VC6.0 prepared by the program, you can achieve the color image R, G, B channel and H, S, V channel segmentation, histogram display, image processing on the basis of work Platform: |
Size: 16318464 |
Author:sunyk |
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Description: SEGMENTATION OF FACES IN VIDEO FOOTAGE USING HSV COLOR FOR FACE DETECTION AND IMAGE RETRIEVAL Platform: |
Size: 366592 |
Author:Hoho |
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Description: This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
-This paper presents a new approach to image segmentation using Pillar K-means algorithm. This
segmentation method includes a new mechanism for grouping the elements of high resolution images in order to
improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by
the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each
other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This
algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and
computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric.
This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering
algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.
Platform: |
Size: 974848 |
Author:Deepesh |
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Description: 有时在对图像进行分割时需要利用先验知识，如若分割出某个目标物时，可以利用颜色模型（HSV或HSI等），但还需利用“目标颜色”这个先验知识才能很好的将它分割出来，但对于目标物而言，可能夹杂其他颜色，此时对于H分量的区间范围的判定较为困难。-Sometimes when image segmentation requires prior knowledge, when Should a segmented target, you can use color model (HSV or HSI, etc.), but also need to use the target color the a priori knowledge to good will it is carved out, but for the target, the other colors may be mixed, this time interval is more difficult to determine the scope of the H component. Platform: |
Size: 84992 |
Author:郑凯 |
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Description: 有源码，适合学习C++的人
一、 读入一幅灰度图象，编写程序显示图象中任一象素点的灰度值。
二、 编程实现RGB彩色空间到HSV彩色空间的转换，并通过调整H、S、V的值实现图像亮度、色度和色饱和度的调节。
三、 1.灰度线性变换、分段线性变换
2.灰度直方图均衡、规格化
3.图象卷积：各种模板实现低通、高通滤波
4.图象中值滤波、最大值滤波、最小值滤波、模板选择滤波
5.伪彩色图象增强
四、 1.图象的加、减、乘、除和逻辑运算。
2.图象的镜像变换、图象的缩放（灰度插值）变换
五、 编程实现图象的FFT变换和反变换
六、 用逆滤波方法和维纳滤波方法恢复运动模糊图象（加噪声和不加噪声）
七、 编写程序实现灰度图象的分割：
1、阈值化算法：手动阈值、自动阈值(大津阈值)
2、区域生长
3、区域分裂合并-There is source code for learning C++ people one reads a grayscale image, write a program to display the image in any one pixel gray value. Second, the programming RGB color space to the HSV color space conversion, and by adjusting the H, S, V values achieve adjust image brightness, color and color saturation. Third, 1 gray linear transformation, piecewise linear transformation 2. histogram equalization 3. image normalized convolution: a variety of templates for low pass, high pass filter 4. image median filtering, the maximum filter minimum filtering, template selection pseudo-color image enhancement filter 5. four, plus 1 image, subtract, multiply, divide, and logic operations. 2. The image of image transformation, zoom images (grayscale interpolation) into five, programming image of FFT and inverse transform six, inverse filtering method and Wiener filtering method to restore motion blur image (plus noise and without noise) Seven, programming Grayscale image segmentation: 1, thresho Platform: |
Size: 1072128 |
Author:zl |
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Description: 对有阴影的视频图像有很好效果，基于HSV空间的彩色图像分割(For video images with shadows have very good effect, color image segmentation based on HSV space) Platform: |
Size: 1024 |
Author:sojp&249479
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Search - HSV color image segmentation