detecting faces in cluttered backgrounds and real world has remained as an unsolved problem yet. in this paper, by using composition of some kind of independent features and one of the most common appearance based approaches, and multilayered perceptron (mlp) neural networks, not only some questions have been answered, but also the designed system achieved better performance rather than the pre...

Contrast Enhancement plays an important role in digital image processing. It enables the human and automated perceiver to find out the less obvious information in the original image. Global Contrast Enhancement techniques are used in a wide range of applications to enhance the quality of an image. Local contrast enhancement also plays an important role for a detailed visibility of an image. In ...

The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...

The current methods of turfgrass evaluations are often based on human-based assessment methods. However, eliminating subjective errors from such evaluations is often impossible. This research compared the accuracy of human-based and digital image processing-based methods for quality assessment of turfgrasses. Four turfgrass plots were evaluated using the two mentioned methods. In the human-base...

We proposed a distributed image processing enviroment VIOS. In this paper, the third version, VIOS III is proposed. In VIOS III, a new parallel processing language VPE-p which has exible syntax for describing parallel algorithms has been developed. And the new programmable bu er for accessing global variable through local area network is also proposed. The description ability for parallel image...

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

JPEG is one of the most widely used image compression method, but it causes annoying blocking artifacts at low bit-rates. Sparse representation is an efficient technique which can solve many inverse problems in image processing applications such as denoising and deblocking. In this paper, a post-processing method is proposed for reducing JPEG blocking effects via sparse representation. In this ...

This project deals with a method of enhancing the degraded detail in the fingerprint images. The term adaptive implies that the parameters of this method are automatically adjusted based on the input fingerprint image. In this method, five processing blocks are involved. The process of fingerprint image enhancement is based on integrating the functionalities of each block. The five blocks are P...

The body image concern (BIC) continuum ranges from a healthy and positive body image, to clinical diagnoses of abnormal body image, like body dysmorphic disorder (BDD). BDD and non-clinical, yet high-BIC participants have demonstrated a local visual processing bias, characterised by reduced inversion effects. To examine whether this bias is a potential marker of BDD, the visual processing of in...