Enhancing an image in such a way that maintains image edges is a difficult problem. Many current methods for image enhancement either smooth edges on a small scale while improving contrast on a global scale or enhance edges on a large scale while amplifying noise on a small scale. Many applications of histograms for the purposes of image processing are well known. However, applying this process...

This chapter presents a technique to determine the identity of objects in a scene using multidimensional histograms of the responses of a vector of local linear neighborhood operators receptive elds This technique can be used to determine the most probable objects in a scene independent of the object s position image plane orientation and scale The rst part of the chapter summarizes the mathema...

Aiming at poor adaptability to illumination variation and single learning rate in traditional Gaussian mixture model, an improved moving object detection algorithm based on adaptive Gaussian mixture model is proposed in this paper, so as to achieve the goal of a self-adaptive background updating model. In this paper, we analyze the existed algorithms and put forward the method to make use of co...

Images provided by several imaging spectrometers are often contaminated with stripes. This artifact compromises the visual quality and radiometric integrity of measured data. Although a large number of destriping algorithms have been recently suggested, most of them provide results that display residual stripes if not strong distortion from the original signal. To overcome this issue, we introd...

In SC96] we presented a technique to determine the identity of objects in a scene using multidimensional histograms of the responses of a vector of local linear neighborhood operators (receptive elds). This technique can be used to determine the most probable objects in a scene, independent of the object's position, image-plane orientation and scale. The present paper describes experiments to e...

This paper assesses the accuracy with which single radar 1.5 km CAPPI imagery and 2 by 2 km resolution can be used to estimate precipitation in the 9-10 June 2000 Montserrat flash flood episode in Catalonia, Spain (Llasat et al., 2002). Results using Z=A·R (Marshal and Palmer Z-R relationship, 1948) with coefficients for stratiform (A=200, B=1.6) and convective (A=800, B=1.6) rain are compared ...

The histogram specification turns a shape of a histogram into that we want to specify. This technique can be applied usefully in various image processing fields such as machine vision. However, the histogram specification technique has its basic limits. For instance, the histogram does not have location information of pixels. Also, the accuracy of specification drops because of quantization err...

This chapter presents a technique to determine the identity of objects in a scene using multidimensional histograms of the responses of a vector of local linear neighborhood operators (receptive elds). This technique can be used to determine the most probable objects in a scene, independent of the object's position, image-plane orientation and scale. The rst part of the chapter summarizes the m...

A dominant color histogram matching method for fruits classification was presented in this paper. In classification of fruits based on machine vision, image was acquired with a color CCD camera that outputted color information in three channels, red, green, and blue. Because traditional RGB color space couldn’t meet subjective color sensation of human being, so color image needed to be transfor...

This paper presents a novel LDP based image descriptor which is more robust to temporal face changes. LDP is a framework to encode directional pattern based on local derivative variations, hence LDP is highly directional. However texture based features extracted globally tend to average over the image area. Hence this paper proposes to divide the face image into multiple regions and perform LDP...