This paper presents a skin color model for face detection based on YCbCr Gauss model and KL transform. The simple gauss model and the region model of the skin color are designed in both KL color space and YCbCr space according to clustering. Skin regions are segmented using optimal threshold value obtained from adaptive algorithm. The segmentation results are then used to eliminate likely skin ...

agricultural sector experiences the application of automated systems since two decades ago. these systems are applied to harvest fruits in agriculture. computer vision is one of the technologies that are most widely used in food industries and agriculture. in this paper, an automated system based on computer vision for harvesting greenhouse tomatoes is presented. a ccd camera takes images from ...

A novel approach for forest fire detection using image processing technique is proposed. A rule based color model for fire pixel classification is used. The proposed algorithm uses RGB and YCbCr color space. The advantage of using YCbCr color space is that it can separate the luminance from the chrominance more effectively than RGB color space. The performance of the proposed algorithm is teste...

In this paper, we present the architecture and design of a color space conversion module. The color space converter module is used for changing the image from RGB color space to YCbCr color space and vice-versa. The color space conversion module was designed using VHDL and was implemented on an FPGA. This design methodology helped us to achieve faster the time to market and also the ability to ...

In 2001, with the nonlinear l┙┚ space (Ruderman et al., 1998), Reinhard et al. (Reinhard et al., 2001) introduced a method to transfer colors between two color images. The goal of their work was to make a synthetic image take on another image’s look and feel. Applying Reinhard’s statistical color transfer strategy, Toet (Toet, 2003) subsequently developed a color-transfer-based image fusion alg...

Super resolution (SR) images play an important role in Image processing applications. Spatial resolution is the key parameter in many applications of image processing. Super resolution images can be used to improve the spatial resolution. In this paper a new SR image reconstruction algorithm is proposed using Integer wavelet transform (IWT) and Binary plane technique (BPT). The proposed method ...

Shadows in an image can reveal information about the object’s shape and orientation, and even about the light source. Thus shadow detection and removal is a very crucial and inevitable task of some computer vision algorithms for applications such as image segmentation and object detection and tracking. This paper proposes a simple framework using the luminance, chroma: blue, chroma: red (YCbCr)...