@article{MAKHILLJEAS2018131516617,
    title = {Detection of Brain Tumors in Brain Images Based on
Pseudo Coloring and Spatial Methods},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {13},
    number = {15},
    pages = {6123-6129},
    year = {2018},
    issn = {1816-949x},
    doi = {jeasci.2018.6123.6129},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2018.6123.6129},
    author = {Mina and},
    keywords = {Tumor brain detection,image binarization,segmentation based on YCbCr,smoothing,histogram,equalization,density slicing and object labeling},
    abstract = {The brain is a greatly particular organ and works as the controller for body functions of all actions,
feelings and emotional states. It is well-known that each portion of the brain has a particular of an
overpoweringly imperative function and each portion adds healthful performance of human body. The tumors
position in the brain is critical determinant that affect on brain tumor on person’s activity and caused
indications. Tumors can be arisen in brain by reason of the unrestrained expansion of cells. They can be
remedied if it is well-timed identified by suitable treatment. This study proposes programmed recognition and
diagnosis of brain tumors based on image binarization, segmentation based on YCbCr, smoothing, histogram
equalization, density slicingand object labeling. Based on various collected tumor images from Iraqi hospital,
the proposed method of this study has detection rate of better than 99 with speedy processing.}
    }