We have developed a mobile vision assistive device based on a head mounted display (HMD) with a video camera, which provides image magnification and contrast enhancement for patients with central field loss (CFL). Because the exposure level of the video camera is usually adjusted according to the overall luminance of the scene, the contrast of sub-images (to be magnified) may be low. We found t...

There are numbers of methods prevailing for Image Mining Techniques. This Paper includes the features of four techniques I,e Color Histogram, Color moment, Texture, and Edge Histogram Descriptor. The nature of the Image is basically based on the Human Perception of the Image. The Machine interpretation of the Image is based on the Contours and surfaces of the Images. The study of the Image Mini...

Image contrast enhancement is a fundamental pre-processing step in application requiring image processing operations. Histogram Equalization (HE) method is widely used for contrast enhancement. However, HE is not suitable for consumer electronic products directly. As a result, such image creates side-effects such as washed out appearance and false contouring due to the significant change in bri...

A histogram is a graphical representation of the distribution of data in an image. It is an estimate of the probability distribution of a continuous variable (quantitative variable). Histogram Equalization is a contrast enhancement technique in the image processing which uses the histogram of image. However histogram equalization is not the best method for contrast enhancement because the mean ...

Radiometric normalization is critical for multi-spectral image change detection. In this paper, a histogram matching method is proposed to perform relative radiometric normalization among heterogeneously sensed images. To quantify the histogram matching quality, which is reference image and band dependent, the image differencing based quantitative measure, such as Euclidean or Manhattan distanc...

Histograms are commonly used to characterize and analyze the region of interest within an image. Weighting the contributions of the pixels to the histogram is a key feature to handle noise and occlusion and increase object localization accuracy of many histogram-based search problems including object detection, tracking and recognition. The integral histogram method provides an optimum and comp...

In order to enhance the contrast in the regions where the pixels have similar intensities, this paper presents a new histogram equalization scheme. Conventional global equalization schemes over-equalizes these regions so that too bright or dark pixels are resulted and local equalization schemes produce unexpected discontinuities at the boundaries of the blocks. The proposed algorithm segments t...

BACKGROUND AND PURPOSE Histogram analysis can be applied to dynamic susceptibility contrast (DSC) perfusion MR imaging datasets and can be as effective as traditional region-of-interest (ROI) measurements of relative cerebral blood volume (rCBV), an operator-dependent method. We compare the routine ROI method with histogram analysis in the grading of glial neoplasms. MATERIALS AND METHODS Nin...