ABSTRACT-Manual harvesting of saffron as a laborious and exhausting job; it not only raises production costs, but also reduces the quality due to contaminations. Saffron quality could be enhanced if automated harvesting is substituted. As the main step towards designing a saffron harvester robot, an appropriate algorithm was developed in this study based on image processing techniques to recogn...

The Robustness of Facial Expression Recognition (FER) is based on information contained in color facial images. The Tensor Perceptual Color Framework (TPCF) enables multilinear image analysis in different color spaces. This demonstrates that the color components provide additional information for robust FER. By using this framework color components RGB, YCbCr, CIELab or CIELuv space of color im...

In this work we compare two spatial and two wavelet-domain feature extraction methods that have been proposed in the recent literature for color-texture classification. The corresponding color-texture features, namely the Opponent-Color Local Binary Pattern distributions, the Chromaticity Moments, the Wavelet Correlation Signatures and the Color Wavelet Covariance features, are extracted in RGB...

in this paper we present a method related to extracting white blood cells (wbcs) from blood microscopic figures and recognizing them and counting each kind of wbcs. in this method, first we extract the white blood cells from other blood cells by rgb color system's help. in continuance, by using the features of each kind of globules and their color scheme, we extract a normalized feature vector,...

Biological packaging material based on obtained proteins from fish waste, are biopolymers that have the capability of biodegradable film formation. Thus, purpose of this research is to study and investigate some of films’ physical features made from trout fish Myofibril protein. The film forming solution containing 1.5%, 2% and 2.5%(w/v)Myofibril protein isolate of 100ml solution and glycerol a...

One of the important requirements in image retrieval, indexing, classification, clustering and etc. is extracting efficient features from images. The color feature is one of the most widely used visual features. Use of color histogram is the most common way for representing color feature. One of disadvantage of the color histogram is that it does not take the color spatial distribution into con...

Color enhancement of multispectral images is useful to visualize the image's spectral features. Previously, a color enhancement method, which enhances the feature of a specified spectral band without changing the average color distribution, was proposed. However, sometimes the enhanced features are indiscernible or invisible, especially when the enhanced spectrum lies outside the visible range....

This paper proposes color invariant moment features based on color clustering. Similarity measure method based on the color invariant moment descriptors is given. This method is applied in a practical application system. The experimental result shows that, the proposed feature has both a wider and steadier invariant and a stronger ability in color based image region similarity discriminating th...

Color histograms are the most commonly used features for image retrieval due to the good attributes of image translation and rotation invariance. However the traditional color histogram features are usually short of spatial structural information which may cause error retrieval results. This paper presents a color image retrieval method based on Weighted DCT Spatial Combination Histogram (WDSCH...