This paper proposed a new algorithm to separate leukocytes from cytological image by setting parameters of lightness transformation based on the RGB color space, which can make the targets’ color in different areas. In our procedure, an operator is employed in using color features. According to their histogram distribution of hue component in HSL color space after enhancing the contrast of imag...

This paper presents an optimum color conversion from the 3D RGB space into a 2D selected space to the purpose of pattern recognition. The method is based on the Karhunen-Loève transform (KLT), also known as Principal Component Analysis (PCA). The resulted 2D space is defined by the two color components (called C1 and C2), corresponding to the two largest eigenvalues of the RGB pixel covariance ...

Face detection is an important topic in many applications. Variation of illumination and pose in addition to existence occlusion and orientation decrease the algorithm performance. These factors change global facial appearance. Using component-based methods, we can overcome the referred problems. Because of face components are less affected by these factors. In this paper, we propose a novel co...

Recent project of National Aeronautics and Space Administration (NASA) to Mars promised to show 3D images of Mars surface. Spirit and Opportunity, identical Mars rovers of NASA, are equipped with a high-resolution stereo camera pair, called PanCam. Most cameras used by people are sensitive to three color bands, namely red (R), green (G) and blue (B). The PanCam is equipped with more color bands...

Two dimensional principal component analyses (2DPCA) is recently proposed technique for face representation and recognition. The standard PCA works on 1-dimensional vectors which has inherent problem of dealing with high dimensional vector space data such as images, whereas 2DPCA directly works on matrices i.e. in 2DPCA, PCA technique is applied directly on original image without transforming i...

The authors havc bccn st.udying color cstimation of gray-scale imagc. The prohlcm of this study is defined as an ill-posed problem. bccausc a luminancc to arhitrary color is uniquely fixed but the Illminancr c.orrcsponds t.o plural color-values. In this papcr. tintingcomponcnt (m whit.c mixed valuc) cst,imat ion mct hod from gray-scale imcgc is proposcd based on st.atist ics. This mcthod acquir...

This paper proposed a novel blind color digital watermarking algorithm based on Integer Discrete Wavelet Transform (IDWT) and Human Visual System (HVS). Firstly, color watermark image was processed into one dimension digital information, and color host image was converted into YIQ color space. Then, according to the features of HVS, encrypted watermark was embedded adaptively into the Y luminan...

This paper mainly focuses on image enhancement technique using soft computing approach like fuzzy sets. Image enhancement primarily covers noise detection and reduction from digital color image. To overcome the color disorder on edge and texture pixel, here each color component of a pixel is correlated to the other two corresponding color components of the same pixel. Here filtering is applied ...

The use of Fuzzy Adaptive Resonance Theory (FA) is explored for the unsupervised color quantization of a color image. The red, green and blue color component values of a given color image are passed as input instances into FA which then groups similar colors into the same class. The average of all of the colors in a given class then replaces the pixel values whose original colors belonged to th...

An improved M.I.T. bag model with hyper central interaction is used to calculate the charge radius for proton containing u and d quarks. We present a theoretical approach to the internal structure of three-body hyper central interacting quarks in a proton, in which we take proton as a bag. We discuss a few of results obtained using a six-dimension potential, which is attractive for small separa...