Human face detection has become a major field of interest in current research because there is no deterministic algorithm to find face(s) in a given image. Further the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. The problem is to detect faces in the given, colored group photograph. This paper proposes a novel technique for detect...

In this paper, we propose an applicable genetic programming approach to solve the problems of binary image analysis and gray scale image enhancement. Given a section of original image and the corresponding goal image, the proposed algorithm evolves for generations and produces a mathematic morphological operation sequence, and the result performed by which is close to the goal. When the operati...

We describe a novel medical image coder that adopts a hybrid wavelet deringing algorithm. The proposed algorithm uses spectrum reorganization, classification, block similarity, and a deringing filter to encode medical images. The coefficients of each wavelet tree are organized into a wavelet block to reduce image complexity. Following the spatial location of the block-gathering operation, class...

Facial features’ localization is a crucial step for many systems of face detection and facial expression recognition. It plays an essential role in human face analysis especially in searching for facial features (mouth, nose and eyes) when the face region is included within the image. The fundamental technique used in facial analysis is to detect the face and subsequently the associated salient...

Image processing plays a major role in various applications. These images may be affected from noises that lead to disorder in embedding the messages. Inorder to overcome this problem various preprocessing techniques are involved. The main objective of this paper is to segment the image through watershed segmentation of image and can embed the secret messages. Extraction of segmentation is also...

The article describes a hierarchical decision making framework for the evaluation and improvement/redesign of composite systems. The framework is based on Hierarchical Morphological Multicriteria Design (HMMD) and corresponding morphological clique problem which realize “partitioning/synthesis macroheuristic”. The system evaluation process consists in hierarchical integration of expert judgment...

Image inpainting is a technique of filling unknown image region with known information from the surrounding of the unknown region in such a way that the result is logically accepted. Texture and structure completion in inpainting method is the main challenge in image inpainting and it is still an open problem to be tackled in the near future. In this paper, we propose a new inpainting algorithm...

A multiscale morphological dilation-erosion smoothing operation and its associated scale-space expansion for multidimensional signals are proposed. Properties of this smoothing operation are developed and, in particular a scale-space monotonic property for signal extrema is demonstrated. Scale-space ngerprints from this approach have advantages over Gaussian scale-space ngerprints in that they:...

In this paper we propose a series of novel morphological operators that are anisotropic, and adapt themselves to the local orientation in the image. This new morphology is therefore rotation invariant; i.e. rotation of the image before or after the operation yields the same result. We present relevant properties required by morphology, as well as other properties shared with common morphologica...

d m L E T c t m c T R t i m m e s t a t e c a 1 t C u i b i r w u [ m f b g Auto A G 1577 K y In the field of retina and i diagnosis of measurement Limiting Me Epithelium (R Tomography (conventional techniques and most cases of n cannot be app This paper pro RPE using two-dimension images to imp method, retina morphologica extract RPE structure of th the proposed actual 30 norm the effectiven e...