نتایج جستجو برای: histogram modification
تعداد نتایج: 140204 فیلتر نتایج به سال:
Existing researchers for rubeosis iridis disease focused on image enhancement as a collective group without considering the multi-contrast of images. In this paper, pre-enhancement process was proposed to improve quality iris images by separating into three groups; low, medium and high contrast. Increment, decrement maintenance images’ original contrast were further operated noise reduction man...
Content-based image retrieval (CBIR) is a collection of techniques for retrieving images on the basis of features, such as color, texture and shape. An efficient tool, which is widely used in CBIR, is that of color image histograms. The classic method of color histogram creation results in very large histograms with large variations between neighboring bins. Thus, small changes in the image mig...
Abstract In dark environments and foggy or smoky conditions where it is not possible to use eyesight and usual binoculars to detect human from other objects, the best solution is to use infrared images. This paper presents a robust method to recognize pedestrians in infrared image sequences. For this purpose, combination of SVM and histogram classifiers has been used. A pre-processing phase ext...
-Thresholding is an important form of image segmentation and is a first step in the processing of images for many applications. The selection of suitable thresholds is ideally an automatic process, requiring the use of some criterion on which the selection is based. Most such criteria are only based on the one-dimensional (1D) gray-level histogram of image. In an effort to use more information ...
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 paper presents a novel approach to speech data normalization by introducing interpolation for histogram equalization. We study different ways of histogram interpolation that inhence this normalization technique. We found that using a special weighting factor to combine current and past test sentence statistics improved speech recognition performance. For the testing that used weighted hist...
Magnetic resonance imaging (MRI) of the brain is a precious tool to facilitate physician’s diagnoses and care for a mixture of brain diseases including stroke, cancer, and epilepsy. It presents exact information to discover the diseases. Histogram equalization is one of the important steps in image enhancement technique for MRI. This paper compares different methods like Brightness Preserving B...
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