scholarly journals Color Segmentation for Sixth Sense Device

2016 ◽  
Vol 6 (Special Issue) ◽  
pp. 85-88
Author(s):  
Md. Shoaibuddin Madni ◽  
Ravindra N. Rathod
Keyword(s):  
Color Segmentation

A Novel Approach of Face Detection Based on Skin Color Segmentation and SVM

2011 ◽  
Vol 225-226 ◽  
pp. 437-441
Author(s):  
Jing Zhang ◽  
You Li
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Information Access ◽  
Color Segmentation ◽  
Support Vector ◽  
Svm Classifier ◽  
Novel Approach ◽  
Great Performance ◽  
Face Detection And Recognition ◽  
Detection And Recognition

Nowadays, face detection and recognition have gained importance in security and information access. In this paper, an efficient method of face detection based on skin color segmentation and Support Vector Machine(SVM) is proposed. Firstly, segmenting image using color model to filter candidate faces roughly; And then Eye-analogue segments at a given scale are discovered by finding regions which are darker than their neighborhoods to filter candidate faces farther; at the end, SVM classifier is used to detect face feature in the test image, SVM has great performance in classification task. Our tests in this paper are based on MIT face database. The experimental results demonstrate that the proposed method is encouraging with a successful detection rate.

A New Novel Hybrid Dynamic Color Segmentation Model for Road Signs in Noisy Conditions

2021 ◽  
Vol 9 (3) ◽  
pp. 1-22
Author(s):  
Akram Abdel Qader
Keyword(s):  
Spatial Information ◽  
Histogram Equalization ◽  
Classification Systems ◽  
Color Segmentation ◽  
Safety Issues ◽  
The Road ◽  
Road Signs ◽  
Road Sign ◽  
Noisy Conditions ◽  
Segmentation Task

Image segmentation is the most important process in road sign detection and classification systems. In road sign systems, the spatial information of road signs are very important for safety issues. Road sign segmentation is a complex segmentation task because of the different road sign colors and shapes that make it difficult to use specific threshold. Most road sign segmentation studies do good in ideal situations, but many problems need to be solved when the road signs are in poor lighting and noisy conditions. This paper proposes a hybrid dynamic threshold color segmentation technique for road sign images. In a pre-processing step, the authors use the histogram analysis, noise reduction with a Gaussian filter, adaptive histogram equalization, and conversion from RGB space to YCbCr or HSV color spaces. Next, a segmentation threshold is selected dynamically and used to segment the pre-processed image. The method was tested on outdoor images under noisy conditions and was able to accurately segment road signs with different colors (red, blue, and yellow) and shapes.

Color segmentation and figure-ground segregation of natural images

2000 ◽  
Author(s):  
Swee-Seong Wong ◽  
Wee Kheng Leow
Keyword(s):  
Natural Images ◽  
Color Segmentation

Edge-aware depth image filtering using color segmentation

2014 ◽  
Vol 50 ◽  
pp. 63-71 ◽  
Author(s):  
Michael Schmeing ◽  
Xiaoyi Jiang
Keyword(s):  
Image Filtering ◽  
Depth Image ◽  
Color Segmentation

scholarly journals Influence of Luminance L* in the L*a*b* Color Space during Color Segmentation in Highly Saturated Color Images

2015 ◽  
Vol 102 (1) ◽  
pp. 21-31
Author(s):  
Rodolfo Alvarado-Cervantes ◽  
Edgardo M. Felipe-Riveron ◽  
Vladislav Khartchenko ◽  
Oleksiy Pogrebnyak
Keyword(s):  
Color Space ◽  
Color Images ◽  
Color Segmentation ◽  
Saturated Color
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