Texture features have long been used in remote sensing applications for representing and retrieving regions similar to a query region. Various representations of texture have been proposed based on the power spectrum, grey-level cooccurrence matrices, wavelet features, Gabor features, etc. Analysis of several co-occurring pixel values may benefit texture description but is impeded by the expone...

Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...

background: we aimed to extract the histogram features for text analysis and, to classify the types of bio medical waste (bmw) for garbage disposal and management. methods: the given bmw was preprocessed by using the median filtering technique that efficiently reduced the noise in the image. after that, the histogram features of the filtered image were extracted with the help of proposed modifi...

We present an enhanced principal component analysis (PCA) algorithm for improving rate of face recognition. The proposed pre-processing method, termed as perfect histogram matching, modifies the image histogram to match a Gaussian shaped tonal distribution in the face images such that spatially the entire set of face images presents similar facial gray-level intensities while the face content i...

Abslroa In this paper, we present B new statistical analysis method of phase resolved partial discharge (PD) measurements for the quality assessment o f the electrical insulation in high voltage machinery. The method is based on P supervised classification approach which utilizes histogram similarily analysis. The motivntian for choosing histogram similarily analysis is huofold: F i r s t the p...

We propose a new region-based method for stained glass rendering of an input photograph. We achieve more regular region sizes than previous methods by using simple linear iterative clustering, or SLIC, to obtain tile boundaries. The SLIC regions respect image edges but provide an oversegmentation suitable for stained glass. We distinguish between important boundaries that match image edges, and...