T his paper presents an algorithm for automatic neural image analysis in immunostained vertebrate retinas. We present a useful tool for cell quantification avoiding the losst of information of traditional binary techniques in automatic recognition of images. The application is based on the extension of the mathematical morphology to colour images. In qthe paper, we define the basics and more co...

Blood cell counting is a major field of study in biomedical engineering. In human blood cell segmentation cases, many methods are being studied and applied for obtaining better results. In this paper, we present an approach for counting different blood cells during blood smear test. The approach which is presented in this paper is by segmentation using morphological watershed transformation. Mo...

Edges are regions of interest and edge detection is the process of determining where the boundaries of objects fall within an image. It is an important concept, both in the area of object recognition and motion tracking. This paper presents an adaptive thresholding based edge-detection method using morphological operators. The novelty of the approach is the adaptive efficient peak detection of ...

This paper presents a unifying theory for many concepts and operations encountered in or related to morphological image and signal analysis. This unification requires a set-theoretic melhodology, where signals are modeled as sets, systems (signal transformations) are viewed as set mappings, and translation-invariant systems are uniquely characterized by special collections of input signals. Thi...

Classification of panchromatic high-resolution data from urban areas using morphological and neural approaches is investigated. The proposed approach is based on three steps. First, the composition of geodesic opening and closing operations of different sizes is used in order to build a differential morphological profile that records image structural information. Although, the original panchrom...

Segmentation of brain tumor manually consumes more time and it is a challenging task. This paper detects the tumor inside the brain by doing segmentation and extraction of the tumor which is been detected. To prove the efficiency of the detection of brain tumor we have performed a comparative study of two segmentation algorithms namely “watershed segmentation algorithm” and “k-means clustering ...

This paper presents a new approach to the analysis of hyperspectral images, a new class of image data that is mainly used in remote sensing applications. The method is based on the generalization of concepts from mathematical morphology to multi-channel imagery. A new vector organization scheme is described, and fundamental morphological vector operations are de#ned by extension. Theoretical de...

The main aim is Image Enhancement of BioMedical MRI Images Using Morphology technique. There are basically four operations in Morphology technique: Dilation, Erosion, Opening an Image and closing an Image. Basically I am going to use Dilation and erosion operations of the Morphology Technique for Image Enhancement. Previously I used Histogram Technique for enhancing image clarity; I collected V...

Abstraet--A new approach to digital implementation of continuous-scale mathematical morphology is presented. The approach is based on discretization of evolution equations associated with continuous multiscale morphological operations. Those equations, and their corresponding numerical implementation, can be derived either directly from mathematical morphology definitions or from curve evolutio...