A human skin detector combining mean shift analysis and watershed algorithm
نویسندگان
چکیده
Detecting human skin in color images is an interesting problem due to the potential number of target applications ranging from face detection to the detection of pornographic images. Many approaches have been proposed in literature including color tresholding, statistical skin color modeling and segmentation-based techniques. However, the performances often decrease in the presence of illumination artifacts resulting in sub-optimal results. In this paper, we propose a new method that is adaptive to the image content especially in illumination conditions. For this purpose, we first detect skin seeds that serve as the basis to locate the skin colors with highest density. This step allows to take into account illumination conditions for the last step, namely the growing of skin seeds.
منابع مشابه
Skin Video Segmentation and Trajectory Recognition in Human–computer Interface Applications
In this paper we address two problems involved in video segmentation for human–computer interface applications. First we propose an adaptive method for hand skin segmentation to enhance the hand feature detector. A new analysis colour space is used in order to obtain a reliable adaptive skin detector. The colour space is chosen so that the image has a sparser representation than those using the...
متن کاملDigital Binary Phase-shift Keyed Signal Detector
We have developed the effective algorithm for detecting digital binary phase-shift keyed signals. This algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides high interference immunity by identifying signal presence when signal-to-noise ratio is much less that its w...
متن کاملAn Image Segmentation Algorithm for the Hyperspectral Remote Sensing Image
The technology of hyperspectral remote sensing image improves the capability of collecting the objects such as lakes, rivers, farmlands, buildings, forest and desert in the ground surface. Since the spatial resolution is becoming higher recently, image segmentation of hyperspectral remote sensing is important to the next step of remote sensing image classification and object recognition. In thi...
متن کاملHigh Resolution Remote Sensing Image Segmentation Based on Multi-features Fusion
Article history: Received: 7.1.2016. Received in revised form: 6.5.2016. Accepted: 7.5.2016. High resolution remote sensing images contain richer information of spatial relation in ground objects than low resolution ones, which can help describe the geometric information and extract the essential features more efficiently. However, the handling difficulties due to the relative poorer spectral i...
متن کاملSegmentation of White Blood Cells through Nucleus Mark Watershed Operations and Mean Shift Clustering
This paper presents a novel method for segmentation of white blood cells (WBCs) in peripheral blood and bone marrow images under different lights through mean shift clustering, color space conversion and nucleus mark watershed operation (NMWO). The proposed method focuses on obtaining seed points. First, color space transformation and image enhancement techniques are used to obtain nucleus grou...
متن کامل